In [25]:

get_system_logs()

['2020-07-29 09', '47', '14,652', 'INFO', 'PyCaret Regression Module']
['2020-07-29 09', '47', '14,652', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '47', '14,652', 'INFO', 'Initializing setup()']
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['experiment_name=insurance1, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False)']
['2020-07-29 09', '47', '14,653', 'INFO', 'Checking environment']
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['2020-07-29 09', '47', '15,876', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '47', '15,877', 'INFO', 'Checking Exceptions']
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['2020-07-29 09', '47', '20,809', 'INFO', 'setup() succesfully completed......................................']
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['2020-07-29 09', '47', '32,276', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '32,376', 'INFO', 'SubProcess save_model() end ==================================']
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['2020-07-29 09', '47', '32,829', 'INFO', 'Creating metrics dataframe']
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['2020-07-29 09', '47', '32,912', 'INFO', 'SubProcess save_model() end ==================================']
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['2020-07-29 09', '47', '32,974', 'INFO', 'Evaluating Metrics']
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['2020-07-29 09', '47', '32,988', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,991', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,993', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '33,001', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '33,006', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,008', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,010', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '33,017', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '33,022', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,025', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,027', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '33,045', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,045', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,051', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '33,051', 'INFO', 'Creating metrics dataframe']
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['2020-07-29 09', '47', '33,129', 'INFO', 'SubProcess save_model() called ==================================']
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['2020-07-29 09', '47', '33,129', 'INFO', 'Appending prep pipeline']
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['2020-07-29 09', '47', '33,139', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '33,139', 'INFO', 'SubProcess save_model() end ==================================']
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['2020-07-29 09', '47', '33,205', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '33,219', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,222', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,225', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,225', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,232', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '33,237', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,241', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,243', 'INFO', 'No inverse transformer found']
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['2020-07-29 09', '47', '33,251', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '33,255', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,260', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,262', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,262', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,270', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '33,277', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,280', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,283', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,283', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,291', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '33,291', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '33,302', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '33,367', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '33,368', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '33,368', 'INFO', 'save_model(model=ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5,']
['max_iter=1000, normalize=False, positive=False, precompute=False,']
["random_state=123, selection='cyclic', tol=0.0001, warm_start=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '33,368', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '33,373', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '33,379', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5,']
['max_iter=1000, normalize=False, positive=False, precompute=False,']
["random_state=123, selection='cyclic', tol=0.0001, warm_start=False), None]"]
['2020-07-29 09', '47', '33,379', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '33,379', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '33,465', 'INFO', 'Initializing Least Angle Regression']
['2020-07-29 09', '47', '33,470', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '33,476', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,482', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,483', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,484', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,490', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '33,496', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,502', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,504', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,504', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,510', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '33,517', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,522', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,523', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,523', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,531', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '33,536', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,542', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,543', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,544', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,552', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '33,564', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,572', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,574', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,574', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,580', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '33,581', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '33,593', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '33,653', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '33,654', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '33,654', 'INFO', 'save_model(model=Lars(copy_X=True, eps=2.220446049250313e-16, fit_intercept=True, fit_path=True,']
["jitter=None, n_nonzero_coefs=500, normalize=True, precompute='auto',"]
['random_state=None, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '33,654', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '33,658', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '33,664', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), Lars(copy_X=True, eps=2.220446049250313e-16, fit_intercept=True, fit_path=True,']
["jitter=None, n_nonzero_coefs=500, normalize=True, precompute='auto',"]
['random_state=None, verbose=False), None]']
['2020-07-29 09', '47', '33,664', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '33,664', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '33,714', 'INFO', 'Initializing Lasso Least Angle Regression']
['2020-07-29 09', '47', '33,720', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '33,728', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,733', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,734', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,734', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,739', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '33,745', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,750', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,752', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,752', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,758', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '33,764', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,768', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,770', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,770', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,775', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '33,780', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,784', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,786', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,786', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,792', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '33,798', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,802', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,803', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,803', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,809', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '33,810', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '33,821', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '33,878', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '33,878', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '33,878', 'INFO', 'save_model(model=LassoLars(alpha=1.0, copy_X=True, eps=2.220446049250313e-16, fit_intercept=True,']
['fit_path=True, jitter=None, max_iter=500, normalize=True,']
["positive=False, precompute='auto', random_state=None, verbose=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '33,878', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '33,884', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '33,889', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), LassoLars(alpha=1.0, copy_X=True, eps=2.220446049250313e-16, fit_intercept=True,']
['fit_path=True, jitter=None, max_iter=500, normalize=True,']
["positive=False, precompute='auto', random_state=None, verbose=False), None]"]
['2020-07-29 09', '47', '33,889', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '33,890', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '33,946', 'INFO', 'Initializing Orthogonal Matching Pursuit']
['2020-07-29 09', '47', '33,952', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '33,961', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,964', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,966', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,966', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,974', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '33,983', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,985', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,987', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,988', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,997', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '34,002', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,006', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,008', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,008', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,017', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '34,023', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,026', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,029', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,029', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,037', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '34,044', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,048', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,051', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,051', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,058', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '34,058', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '34,073', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '34,193', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '34,193', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '34,194', 'INFO', 'save_model(model=OrthogonalMatchingPursuit(fit_intercept=True, n_nonzero_coefs=None,']
["normalize=True, precompute='auto', tol=None), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '34,194', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '34,202', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '34,211', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), OrthogonalMatchingPursuit(fit_intercept=True, n_nonzero_coefs=None,']
["normalize=True, precompute='auto', tol=None), None]"]
['2020-07-29 09', '47', '34,211', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '34,211', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '34,263', 'INFO', 'Initializing Bayesian Ridge']
['2020-07-29 09', '47', '34,269', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '34,277', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,284', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,286', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,287', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,295', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '34,304', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,311', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,314', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,314', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,323', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '34,331', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,339', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,341', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,342', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,350', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '34,357', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,364', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,367', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,367', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,375', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '34,383', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,391', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,393', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,393', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,402', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '34,402', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '34,420', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '34,507', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '34,507', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '34,508', 'INFO', 'save_model(model=BayesianRidge(alpha_1=1e-06, alpha_2=1e-06, alpha_init=None,']
['compute_score=False, copy_X=True, fit_intercept=True,']
['lambda_1=1e-06, lambda_2=1e-06, lambda_init=None, n_iter=300,']
['normalize=False, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '34,508', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '34,516', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '34,523', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), BayesianRidge(alpha_1=1e-06, alpha_2=1e-06, alpha_init=None,']
['compute_score=False, copy_X=True, fit_intercept=True,']
['lambda_1=1e-06, lambda_2=1e-06, lambda_init=None, n_iter=300,']
['normalize=False, tol=0.001, verbose=False), None]']
['2020-07-29 09', '47', '34,524', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '34,524', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '34,625', 'INFO', 'Initializing Passive Aggressive Regressor']
['2020-07-29 09', '47', '34,633', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '34,640', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,651', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,654', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,654', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,664', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '34,672', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,683', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,685', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,686', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,696', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '34,705', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,715', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,717', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,717', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,726', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '34,735', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,746', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,749', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,749', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,759', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '34,767', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '34,777', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '34,779', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '34,779', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '34,790', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '34,790', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '34,808', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '34,904', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '34,904', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '34,905', 'INFO', 'save_model(model=PassiveAggressiveRegressor(C=1.0, average=False, early_stopping=False,']
['epsilon=0.1, fit_intercept=True,']
["loss='epsilon_insensitive', max_iter=1000,"]
['n_iter_no_change=5, random_state=123, shuffle=True,']
['tol=0.001, validation_fraction=0.1, verbose=0,']
['warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '34,905', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '34,914', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '34,922', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), PassiveAggressiveRegressor(C=1.0, average=False, early_stopping=False,']
['epsilon=0.1, fit_intercept=True,']
["loss='epsilon_insensitive', max_iter=1000,"]
['n_iter_no_change=5, random_state=123, shuffle=True,']
['tol=0.001, validation_fraction=0.1, verbose=0,']
['warm_start=False), None]']
['2020-07-29 09', '47', '34,922', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '34,922', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '35,002', 'INFO', 'Initializing Random Sample Consensus']
['2020-07-29 09', '47', '35,011', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '35,023', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '35,179', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '35,182', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '35,183', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '35,194', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '35,203', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '35,358', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '35,361', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '35,361', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '35,371', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '35,381', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '35,533', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '35,535', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '35,535', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '35,547', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '35,556', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '35,711', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '35,714', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '35,715', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '35,727', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '35,737', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '35,875', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '35,878', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '35,878', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '35,889', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '35,889', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '35,911', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '36,020', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '36,020', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '36,020', 'INFO', 'save_model(model=RANSACRegressor(base_estimator=None, is_data_valid=None, is_model_valid=None,']
["loss='absolute_loss', max_skips=inf, max_trials=100,"]
['min_samples=0.5, random_state=123, residual_threshold=None,']
['stop_n_inliers=inf, stop_probability=0.99, stop_score=inf), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '36,020', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '36,029', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '36,039', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), RANSACRegressor(base_estimator=None, is_data_valid=None, is_model_valid=None,']
["loss='absolute_loss', max_skips=inf, max_trials=100,"]
['min_samples=0.5, random_state=123, residual_threshold=None,']
['stop_n_inliers=inf, stop_probability=0.99, stop_score=inf), None]']
['2020-07-29 09', '47', '36,039', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '36,039', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '36,159', 'INFO', 'Initializing TheilSen Regressor']
['2020-07-29 09', '47', '36,168', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '36,178', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '42,054', 'INFO', 'PyCaret Clustering Module']
['2020-07-29 09', '47', '42,054', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '47', '42,055', 'INFO', 'Initializing setup()']
['2020-07-29 09', '47', '42,055', 'INFO', 'USI', 'e74c']
['2020-07-29 09', '47', '42,056', 'INFO', 'setup(data=(224, 21), categorical_features=None, categorical_imputation=constant, ordinal_features=None, high_cardinality_features=None,']
["numeric_features=None, numeric_imputation=mean, date_features=None, ignore_features=['Country Name'], 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_multicollinearity=False, multicollinearity_threshold=0.9, group_features=None,']
['group_names=None, supervised=False, supervised_target=None, n_jobs=-1, html=True, session_id=123, log_experiment=True,']
['experiment_name=health1, log_plots=True, log_profile=False, log_data=False, silent=False, verbose=True, profile=False)']
['2020-07-29 09', '47', '42,057', 'INFO', 'Checking environment']
['2020-07-29 09', '47', '42,058', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '47', '42,058', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '47', '42,059', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '47', '42,060', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '47', '42,272', 'INFO', 'Memory', 'svmem(total=17032478720, available=5177511936, percent=69.6, used=11854966784, free=5177511936)']
['2020-07-29 09', '47', '42,272', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '47', '42,273', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '47', '42,273', 'INFO', 'Checking libraries']
['2020-07-29 09', '47', '42,273', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '47', '42,283', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '47', '43,243', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '43,252', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '43,252', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '43,276', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '43,295', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '43,989', 'INFO', 'sklearn==0.23.1']
['2020-07-29 09', '47', '43,991', 'INFO', 'kmodes==0.10.2']
['2020-07-29 09', '47', '45,076', 'INFO', 'PyCaret Anomaly Detection Module']
['2020-07-29 09', '47', '45,076', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '47', '45,076', 'INFO', 'Initializing setup()']
['2020-07-29 09', '47', '45,076', 'INFO', 'USI', '9b51']
['2020-07-29 09', '47', '45,077', 'INFO', 'setup(data=(1000, 10), categorical_features=None, categorical_imputation=constant, ordinal_features=None, high_cardinality_features=None,']
['numeric_features=None, numeric_imputation=mean, 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_multicollinearity=False, multicollinearity_threshold=0.9, group_features=None,']
['group_names=None, supervised=False, supervised_target=None, n_jobs=-1, html=True, session_id=123, log_experiment=True,']
['experiment_name=anomaly1, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False)']
['2020-07-29 09', '47', '45,077', 'INFO', 'Checking environment']
['2020-07-29 09', '47', '45,078', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '47', '45,078', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '47', '45,078', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '47', '45,079', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '47', '45,083', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '45,089', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '45,090', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '45,113', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '45,133', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '45,136', 'INFO', 'Memory', 'svmem(total=17032478720, available=5155127296, percent=69.7, used=11877351424, free=5155127296)']
['2020-07-29 09', '47', '45,137', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '47', '45,137', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '47', '45,137', 'INFO', 'Checking libraries']
['2020-07-29 09', '47', '45,137', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '47', '45,138', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '47', '45,767', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '47', '45,768', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '47', '45,769', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '45,850', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '45,903', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '45,903', 'INFO', 'Declaring global variables']
['2020-07-29 09', '47', '45,904', 'INFO', 'Copying data for preprocessing']
['2020-07-29 09', '47', '45,920', 'INFO', 'Declaring preprocessing parameters']
['2020-07-29 09', '47', '45,921', 'INFO', 'Importing preprocessing module']
['2020-07-29 09', '47', '47,044', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '47,054', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '47,055', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '47,083', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '47,108', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '48,011', 'WARNING', 'pyod not found']
['2020-07-29 09', '47', '48,500', 'INFO', 'Creating preprocessing pipeline']
['2020-07-29 09', '47', '49,140', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '49,146', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '49,146', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '49,170', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '49,194', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '49,891', 'INFO', 'Preprocessing pipeline created successfully']
['2020-07-29 09', '47', '49,892', 'INFO', 'Creating grid variables']
['2020-07-29 09', '47', '49,896', 'INFO', 'Creating global containers']
['2020-07-29 09', '47', '49,930', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '47', '49,931', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '47', '49,931', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '50,035', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '50,094', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '50,094', 'INFO', 'Declaring global variables']
['2020-07-29 09', '47', '50,094', 'INFO', 'Copying data for preprocessing']
['2020-07-29 09', '47', '50,112', 'INFO', 'Declaring preprocessing parameters']
['2020-07-29 09', '47', '50,112', 'INFO', 'Importing preprocessing module']
['2020-07-29 09', '47', '51,064', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '51,070', 'INFO', 'Logging experiment in MLFlow']
['2020-07-29 09', '47', '51,071', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '51,071', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '51,100', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '51,101', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '51,167', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '51,238', 'INFO', 'Creating preprocessing pipeline']
['2020-07-29 09', '47', '51,321', 'INFO', 'PyCaret NLP Module']
['2020-07-29 09', '47', '51,321', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '47', '51,322', 'INFO', 'Initializing setup()']
['2020-07-29 09', '47', '51,322', 'INFO', 'USI', 'ab65']
['2020-07-29 09', '47', '51,322', 'INFO', 'setup(data=(6818, 7), target=en, custom_stopwords=None, html=True, session_id=123, log_experiment=True,']
['experiment_name=kiva1, log_plots=True, log_data=False, verbose=True)']
['2020-07-29 09', '47', '51,323', 'INFO', 'Checking environment']
['2020-07-29 09', '47', '51,323', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '47', '51,323', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '47', '51,323', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '47', '51,324', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '47', '51,402', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '51,402', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '51,404', 'INFO', 'save_model(model=TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300,']
['max_subpopulation=10000, n_jobs=-1, n_subsamples=None,']
['random_state=123, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '51,404', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '51,411', 'INFO', 'Memory', 'svmem(total=17032478720, available=5093425152, percent=70.1, used=11939053568, free=5093425152)']
['2020-07-29 09', '47', '51,412', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '47', '51,412', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '47', '51,412', 'INFO', 'Checking libraries']
['2020-07-29 09', '47', '51,412', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '47', '51,413', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '47', '51,431', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '51,463', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300,']
['max_subpopulation=10000, n_jobs=-1, n_subsamples=None,']
['random_state=123, tol=0.001, verbose=False), None]']
['2020-07-29 09', '47', '51,463', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '51,463', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '51,703', 'INFO', 'Initializing Huber Regressor']
['2020-07-29 09', '47', '51,722', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '51,746', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '51,869', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '51,870', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '51,897', 'INFO', 'save_model(model=Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), model_name=Transformation Pipeline, verbose=False)']
['2020-07-29 09', '47', '51,897', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '51,912', 'INFO', 'Transformation Pipeline.pkl saved in current working directory']
['2020-07-29 09', '47', '51,922', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '51,926', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '51,926', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '51,942', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)]']
['2020-07-29 09', '47', '51,942', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '51,943', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '51,951', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '51,969', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '52,110', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '52,118', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '52,118', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '52,131', 'INFO', 'Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)']
['2020-07-29 09', '47', '52,132', 'INFO', 'setup() succesfully completed......................................']
['2020-07-29 09', '47', '52,142', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '52,165', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '52,296', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '52,301', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '52,302', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '52,321', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '52,340', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '52,469', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '52,473', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '52,473', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '52,491', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '52,507', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '52,632', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '52,638', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '52,638', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '52,653', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '52,654', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '52,688', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '52,825', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '52,825', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '52,826', 'INFO', 'save_model(model=HuberRegressor(alpha=0.0001, epsilon=1.35, fit_intercept=True, max_iter=100,']
['tol=1e-05, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '52,826', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '52,841', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '52,854', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), HuberRegressor(alpha=0.0001, epsilon=1.35, fit_intercept=True, max_iter=100,']
['tol=1e-05, warm_start=False), None]']
['2020-07-29 09', '47', '52,854', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '52,854', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '53,009', 'INFO', 'Initializing Support Vector Machine']
['2020-07-29 09', '47', '53,023', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '53,040', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,106', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,120', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,120', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,135', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '53,149', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,211', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,223', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,223', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,237', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '53,250', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,304', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,313', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,314', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,326', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '53,341', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,367', 'INFO', 'gensim==3.8.3']
['2020-07-29 09', '47', '53,398', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,410', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,410', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,424', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '53,436', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,489', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,500', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,500', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,513', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '53,513', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '53,544', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '53,668', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '53,668', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '53,669', 'INFO', "save_model(model=SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='scale',"]
["kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '53,669', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '53,680', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '53,690', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='scale',"]
["kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False), None]"]
['2020-07-29 09', '47', '53,690', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '53,690', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '53,805', 'INFO', 'Initializing K Neighbors Regressor']
['2020-07-29 09', '47', '53,817', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '53,831', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,838', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '53,953', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '53,953', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '53,968', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '53,981', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '53,989', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,057', 'INFO', 'spacy==2.2.4']
['2020-07-29 09', '47', '54,099', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,100', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '54,115', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '54,126', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '54,134', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,243', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,243', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '54,256', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '54,266', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '54,275', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,384', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,384', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '54,395', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '54,405', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '54,414', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,524', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,525', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '54,538', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '54,539', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '54,572', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '54,705', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '54,705', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '54,706', 'INFO', "save_model(model=KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',"]
['metric_params=None, n_jobs=-1, n_neighbors=5, p=2,']
["weights='uniform'), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '54,707', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '54,723', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '54,740', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',"]
['metric_params=None, n_jobs=-1, n_neighbors=5, p=2,']
["weights='uniform'), None]"]
['2020-07-29 09', '47', '54,740', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '54,740', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '54,857', 'INFO', 'nltk==3.5']
['2020-07-29 09', '47', '54,892', 'INFO', 'Initializing Decision Tree']
['2020-07-29 09', '47', '54,902', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '54,921', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '54,924', 'INFO', 'textblob==0.15.3']
['2020-07-29 09', '47', '54,932', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,935', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,935', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '54,949', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '54,965', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '54,978', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '54,983', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '54,984', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '55,005', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '55,021', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '55,032', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '55,036', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '47', '55,036', 'INFO', 'create_model(model=kmeans, num_clusters=4, ground_truth=None, verbose=True, system=True)']
['2020-07-29 09', '47', '55,036', 'INFO', 'Checking exceptions']
['2020-07-29 09', '47', '55,037', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '55,037', 'INFO', 'Setting num_cluster param']
['2020-07-29 09', '47', '55,037', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '55,038', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '55,038', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '55,057', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '55,077', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '55,078', 'INFO', 'Importing untrained model']
['2020-07-29 09', '47', '55,078', 'INFO', 'K-Means Clustering Imported succesfully']
['2020-07-29 09', '47', '55,094', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '55,098', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '55,102', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '55,102', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '55,122', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '55,141', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '55,158', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '55,163', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '55,163', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '55,189', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '55,190', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '55,214', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '55,232', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '55,236', 'INFO', 'Creating Metrics dataframe']
['2020-07-29 09', '47', '55,245', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '55,417', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '55,417', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '55,419', 'INFO', "save_model(model=DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', 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=123, splitter='best'), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '47', '55,419', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '55,437', 'INFO', 'SubProcess plot_model() called ==================================']
['2020-07-29 09', '47', '55,437', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '47', '55,438', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '47', '55,439', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '55,439', 'INFO', 'Checking exceptions']
['2020-07-29 09', '47', '55,439', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '55,465', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', 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=123, splitter='best'), None]"]
['2020-07-29 09', '47', '55,466', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '55,466', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '55,656', 'INFO', 'Initializing Random Forest']
['2020-07-29 09', '47', '55,675', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '55,694', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '56,059', 'INFO', 'pyLDAvis==2.1.2']
['2020-07-29 09', '47', '56,271', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '56,275', 'INFO', 'wordcloud==1.7.0']
['2020-07-29 09', '47', '56,383', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '56,384', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '56,401', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '56,417', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '56,825', 'INFO', 'Preprocessing pipeline created successfully']
['2020-07-29 09', '47', '56,826', 'INFO', 'Creating grid variables']
['2020-07-29 09', '47', '56,829', 'INFO', 'Creating global containers']
['2020-07-29 09', '47', '56,945', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '57,059', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '57,060', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '57,086', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '57,104', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '57,516', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '47', '57,516', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '47', '57,718', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '57,739', 'INFO', 'Logging experiment in MLFlow']
['2020-07-29 09', '47', '57,833', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '57,834', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '57,859', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '57,881', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '58,479', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '58,479', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '58,508', 'INFO', 'save_model(model=Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), model_name=Transformation Pipeline, verbose=False)']
['2020-07-29 09', '47', '58,508', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '58,521', 'INFO', 'Transformation Pipeline.pkl saved in current working directory']
['2020-07-29 09', '47', '58,552', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)]']
['2020-07-29 09', '47', '58,552', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '58,552', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '58,578', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '58,692', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '58,693', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '58,708', 'INFO', 'Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)']
['2020-07-29 09', '47', '58,708', 'INFO', 'setup() succesfully completed......................................']
['2020-07-29 09', '47', '58,714', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '58,735', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '59,302', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '59,421', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '59,422', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '59,443', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '59,444', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '59,489', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '59,672', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '59,672', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '59,674', 'INFO', "save_model(model=RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '47', '59,674', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '59,703', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '59,789', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '59,796', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '59,811', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '47', '59,812', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '47', '59,812', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '47', '59,812', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), None]']
['2020-07-29 09', '47', '59,812', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '59,812', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '59,812', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '47', '59,812', 'INFO', 'Checking exceptions']
['2020-07-29 09', '47', '59,813', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '59,813', 'INFO', 'Copying data']
['2020-07-29 09', '47', '59,813', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '47', '59,814', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '59,849', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '47', '59,850', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '47', '59,850', 'INFO', '(224, 21)']
['2020-07-29 09', '47', '59,851', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '47', '59,851', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '47', '59,858', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '59,859', 'INFO', 'Declaring global variables']
['2020-07-29 09', '47', '59,860', 'INFO', 'Input provided', 'dataframe']
['2020-07-29 09', '47', '59,860', 'INFO', 'session_id set to', '123']
['2020-07-29 09', '47', '59,860', 'INFO', 'Copying training dataset']
['2020-07-29 09', '47', '59,864', 'INFO', 'Importing stopwords from nltk']
['2020-07-29 09', '47', '59,876', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '47', '59,891', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '47', '59,897', 'INFO', 'Rendering Visual']
['2020-07-29 09', '47', '59,977', 'INFO', 'Initializing Extra Trees Regressor']
['2020-07-29 09', '47', '59,992', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '48', '00,014', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '00,280', 'INFO', 'No custom stopwords defined']
['2020-07-29 09', '48', '00,282', 'INFO', 'Removing numeric characters from the text']
['2020-07-29 09', '48', '00,441', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '00,553', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '00,554', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '00,576', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '48', '00,594', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '00,820', 'INFO', 'Removing special characters from the text']
['2020-07-29 09', '48', '01,075', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '01,191', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '01,192', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '01,219', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '48', '01,241', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '01,696', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '01,807', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '01,807', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '01,823', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '48', '01,836', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '02,159', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '02,269', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '02,270', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '02,285', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '48', '02,305', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '02,353', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '48', '02,353', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '02,353', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '02,354', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '02,421', 'INFO', 'Importing untrained model']
['2020-07-29 09', '48', '02,422', 'INFO', 'Isolation Forest Imported succesfully']
['2020-07-29 09', '48', '02,449', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '02,813', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '02,928', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '02,929', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '02,953', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '48', '02,954', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '48', '03,011', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '48', '03,241', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '03,242', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '03,244', 'INFO', "save_model(model=ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '03,244', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '03,413', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '03,441', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), None]']
['2020-07-29 09', '48', '03,441', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '03,442', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '03,744', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '48', '03,753', 'INFO', 'Initializing AdaBoost Regressor']
['2020-07-29 09', '48', '03,780', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '48', '03,810', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '03,946', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '03,960', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '03,961', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '03,961', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '03,961', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '03,962', 'INFO', "save_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '03,962', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '03,999', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '48', '04,028', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '04,118', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '04,126', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '04,127', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '04,146', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '48', '04,165', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '04,169', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '04,188', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0)]']
['2020-07-29 09', '48', '04,188', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '04,189', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '04,228', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '04,238', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '04,238', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '04,265', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '48', '04,290', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '04,301', 'INFO', "IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0)']
['2020-07-29 09', '48', '04,301', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '48', '04,317', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '48', '04,318', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '04,318', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '04,318', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '04,350', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '04,360', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '04,360', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '04,389', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '48', '04,395', 'INFO', 'Importing untrained model']
['2020-07-29 09', '48', '04,396', 'INFO', 'k-Nearest Neighbors Detector Imported succesfully']
['2020-07-29 09', '48', '04,412', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '04,415', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '04,484', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '48', '04,484', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '04,494', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '48', '04,494', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '48', '04,518', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '48', '04,519', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '48', '04,583', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '48', '04,697', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '04,698', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '04,699', 'INFO', "save_model(model=KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',"]
["metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,"]
['radius=1.0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '04,700', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '04,725', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '04,747', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',"]
["metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,"]
['radius=1.0)]']
['2020-07-29 09', '48', '04,747', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '04,748', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '04,794', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '04,794', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '04,795', 'INFO', "save_model(model=AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',"]
['n_estimators=50, random_state=123), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '04,796', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '04,831', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '04,855', 'INFO', "KNN(algorithm='auto', contamination=0.1, leaf_size=30, method='largest',"]
["metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=5, p=2,"]
['radius=1.0)']
['2020-07-29 09', '48', '04,855', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '48', '04,856', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',"]
['n_estimators=50, random_state=123), None]']
['2020-07-29 09', '48', '04,856', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '04,856', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '04,871', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '04,873', 'INFO', "assign_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), transformation=False, score=True, verbose=True)']
['2020-07-29 09', '48', '04,873', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '04,874', 'INFO', 'Copying data']
['2020-07-29 09', '48', '04,876', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '04,952', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '04,953', 'INFO', 'Trained Model', 'Assigned Isolation Forest']
['2020-07-29 09', '48', '04,956', 'INFO', '(1000, 12)']
['2020-07-29 09', '48', '04,957', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '05,009', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '05,010', 'INFO', "plot_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), plot=tsne, feature=None, save=False, system=True)']
['2020-07-29 09', '48', '05,011', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '05,011', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '05,796', 'INFO', 'Tokenizing Words']
['2020-07-29 09', '48', '06,772', 'INFO', "Saving 'Cluster.html' in current active directory"]
['2020-07-29 09', '48', '06,773', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '06,773', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '07,650', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '07,651', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=distribution, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '48', '07,652', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '07,652', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '07,672', 'INFO', 'plot type', 'distribution']
['2020-07-29 09', '48', '07,672', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '07,672', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '07,674', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=False, verbose=False)']
['2020-07-29 09', '48', '07,674', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '07,675', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '07,675', 'INFO', 'Copying data']
['2020-07-29 09', '48', '07,676', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '07,711', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '07,713', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '48', '07,714', 'INFO', '(224, 22)']
['2020-07-29 09', '48', '07,714', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '07,715', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '07,715', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '07,732', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '08,329', 'INFO', "Saving 'Distribution.html' in current active directory"]
['2020-07-29 09', '48', '08,329', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '08,329', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '08,812', 'INFO', 'plot type', 'tsne']
['2020-07-29 09', '48', '08,813', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '08,813', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '08,814', 'INFO', "assign_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), transformation=True, score=False, verbose=False)']
['2020-07-29 09', '48', '08,814', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '08,815', 'INFO', 'Copying data']
['2020-07-29 09', '48', '08,815', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '08,849', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '08,850', 'INFO', 'Trained Model', 'Assigned Isolation Forest']
['2020-07-29 09', '48', '08,851', 'INFO', '(1000, 11)']
['2020-07-29 09', '48', '08,851', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '08,852', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '08,870', 'INFO', 'Getting dummies to cast categorical variables']
['2020-07-29 09', '48', '08,885', 'INFO', 'Fitting TSNE()']
['2020-07-29 09', '48', '09,534', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '09,535', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=elbow, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '48', '09,535', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '09,536', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '09,562', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '48', '09,834', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '48', '11,999', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '13,890', 'INFO', "Saving 'Elbow.png' in current active directory"]
['2020-07-29 09', '48', '13,890', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '13,891', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '13,931', 'INFO', 'SubProcess plot_model() end ==================================']
['2020-07-29 09', '48', '13,932', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '13,932', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '13,934', 'INFO', "save_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '13,934', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '13,953', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '13,975', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)]']
['2020-07-29 09', '48', '13,975', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '13,976', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '14,077', 'INFO', "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)']
['2020-07-29 09', '48', '14,078', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '48', '14,099', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '48', '14,100', 'INFO', 'create_model(model=kmodes, num_clusters=4, ground_truth=None, verbose=True, system=True)']
['2020-07-29 09', '48', '14,100', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '14,101', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '14,102', 'INFO', 'Setting num_cluster param']
['2020-07-29 09', '48', '14,102', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '14,162', 'INFO', 'Importing untrained model']
['2020-07-29 09', '48', '14,178', 'INFO', 'K-Modes Clustering Imported succesfully']
['2020-07-29 09', '48', '14,201', 'INFO', 'Fitting Model']
['2020-07-29 09', '48', '20,873', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '48', '20,911', 'INFO', 'Creating Metrics dataframe']
['2020-07-29 09', '48', '20,919', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '48', '21,190', 'INFO', 'SubProcess plot_model() called ==================================']
['2020-07-29 09', '48', '21,190', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '21,192', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=cluster, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '48', '21,192', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '21,192', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '21,221', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '48', '21,221', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '21,221', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '21,223', 'INFO', "assign_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '48', '21,223', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '21,223', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '21,224', 'INFO', 'Copying data']
['2020-07-29 09', '48', '21,224', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '48', '21,225', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '21,271', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '21,273', 'INFO', 'Trained Model', 'K-Modes Clustering']
['2020-07-29 09', '48', '21,274', 'INFO', '(224, 21)']
['2020-07-29 09', '48', '21,274', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '21,275', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '21,292', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '48', '21,315', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '21,323', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '21,784', 'INFO', "Saving 'Cluster.html' in current active directory"]
['2020-07-29 09', '48', '21,784', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '21,785', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '21,905', 'INFO', 'Removing stopwords']
['2020-07-29 09', '48', '23,356', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '23,357', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=distribution, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '48', '23,357', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '23,357', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '23,386', 'INFO', 'plot type', 'distribution']
['2020-07-29 09', '48', '23,387', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '23,387', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '23,388', 'INFO', "assign_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), transformation=False, verbose=False)']
['2020-07-29 09', '48', '23,388', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '23,388', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '23,388', 'INFO', 'Copying data']
['2020-07-29 09', '48', '23,391', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '23,427', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '23,428', 'INFO', 'Trained Model', 'K-Modes Clustering']
['2020-07-29 09', '48', '23,429', 'INFO', '(224, 22)']
['2020-07-29 09', '48', '23,429', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '23,429', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '23,430', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '23,439', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '24,069', 'INFO', "Saving 'Distribution.html' in current active directory"]
['2020-07-29 09', '48', '24,069', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '24,070', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '25,580', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '25,582', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=elbow, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '48', '25,582', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '25,582', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '25,604', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '48', '25,658', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '48', '32,253', 'INFO', 'Extracting Bigrams']
['2020-07-29 09', '48', '41,062', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '41,646', 'INFO', "Saving 'Elbow.png' in current active directory"]
['2020-07-29 09', '48', '41,646', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '41,646', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '41,692', 'INFO', 'SubProcess plot_model() end ==================================']
['2020-07-29 09', '48', '41,692', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '48', '41,693', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '48', '41,694', 'INFO', "save_model(model=KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '48', '41,694', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '48', '42,305', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '48', '42,330', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0)]']
['2020-07-29 09', '48', '42,330', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '48', '42,330', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '48', '42,451', 'INFO', "KModes(cat_dissim=<function matching_dissim at 0x00000229DC93C730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0)']
['2020-07-29 09', '48', '42,451', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '48', '42,468', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '42,469', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=False, verbose=True)']
['2020-07-29 09', '48', '42,470', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '42,470', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '42,470', 'INFO', 'Copying data']
['2020-07-29 09', '48', '42,472', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '42,563', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '42,573', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '48', '42,576', 'INFO', '(224, 22)']
['2020-07-29 09', '48', '42,577', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '42,694', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '42,695', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '48', '42,696', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '42,696', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '42,737', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '48', '42,737', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '42,738', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '42,739', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '48', '42,740', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '42,740', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '42,740', 'INFO', 'Copying data']
['2020-07-29 09', '48', '42,741', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '48', '42,741', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '42,782', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '42,788', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '48', '42,789', 'INFO', '(224, 21)']
['2020-07-29 09', '48', '42,789', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '42,790', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '42,805', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '48', '42,824', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '42,833', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '43,140', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '43,140', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '43,154', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '43,156', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=Country Name, label=True, save=False, system=True)']
['2020-07-29 09', '48', '43,156', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '43,157', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '43,186', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '48', '43,188', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '43,188', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '43,192', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '48', '43,192', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '43,193', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '43,193', 'INFO', 'Copying data']
['2020-07-29 09', '48', '43,194', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '48', '43,194', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '43,230', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '43,232', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '48', '43,233', 'INFO', '(224, 21)']
['2020-07-29 09', '48', '43,233', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '43,233', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '43,246', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '48', '43,268', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '43,274', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '43,585', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '43,585', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '43,599', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '43,601', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=tsne, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '48', '43,602', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '43,602', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '43,658', 'INFO', 'plot type', 'tsne']
['2020-07-29 09', '48', '43,659', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '48', '43,659', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '48', '43,661', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '48', '43,662', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '43,662', 'INFO', 'Preloading libraries']
['2020-07-29 09', '48', '43,663', 'INFO', 'Copying data']
['2020-07-29 09', '48', '43,664', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '48', '43,664', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '48', '43,711', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '48', '43,713', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '48', '43,714', 'INFO', '(224, 21)']
['2020-07-29 09', '48', '43,714', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '48', '43,714', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '48', '43,718', 'INFO', 'Fitting TSNE()']
['2020-07-29 09', '48', '49,461', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '59,261', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '48', '59,268', 'INFO', 'Rendering Visual']
['2020-07-29 09', '48', '59,625', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '48', '59,626', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '48', '59,656', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '48', '59,658', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=elbow, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '48', '59,658', 'INFO', 'Checking exceptions']
['2020-07-29 09', '48', '59,658', 'INFO', 'Importing libraries']
['2020-07-29 09', '48', '59,688', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '48', '59,688', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '49', '01,501', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '49', '01,501', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '49', '01,532', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '49', '01,533', 'INFO', "plot_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), plot=umap, feature=None, save=False, system=True)']
['2020-07-29 09', '49', '01,533', 'INFO', 'Checking exceptions']
['2020-07-29 09', '49', '01,533', 'INFO', 'Importing libraries']
['2020-07-29 09', '49', '01,555', 'INFO', 'plot type', 'umap']
['2020-07-29 09', '49', '01,556', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '49', '01,556', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '49', '01,556', 'INFO', "assign_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), transformation=True, score=False, verbose=False)']
['2020-07-29 09', '49', '01,557', 'INFO', 'Preloading libraries']
['2020-07-29 09', '49', '01,557', 'INFO', 'Copying data']
['2020-07-29 09', '49', '01,558', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '49', '01,588', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '49', '01,589', 'INFO', 'Trained Model', 'Assigned Isolation Forest']
['2020-07-29 09', '49', '01,590', 'INFO', '(1000, 11)']
['2020-07-29 09', '49', '01,590', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '49', '01,590', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '49', '01,598', 'INFO', 'Getting dummies to cast categorical variables']
['2020-07-29 09', '49', '02,407', 'INFO', 'Extracting Trigrams']
['2020-07-29 09', '49', '05,305', 'INFO', 'Fitting UMAP()']
['2020-07-29 09', '49', '14,048', 'INFO', 'PyCaret Regression Module']
['2020-07-29 09', '49', '14,048', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '49', '14,048', 'INFO', 'Initializing setup()']
['2020-07-29 09', '49', '14,049', 'INFO', 'USI', 'd354']
['2020-07-29 09', '49', '14,049', 'INFO', 'setup(data=(1338, 7), target=charges, train_size=0.7, sampling=True, sample_estimator=None, categorical_features=None, categorical_imputation=constant, ordinal_features=None,']
['high_cardinality_features=None, high_cardinality_method=frequency, numeric_features=None, numeric_imputation=mean, 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_interaction=False, feature_ratio=False, interaction_threshold=0.01, transform_target=False,']
['transform_target_method=box-cox, data_split_shuffle=True, folds_shuffle=False, n_jobs=-1, html=True, session_id=123, log_experiment=True,']
['experiment_name=insurance1, log_plots=False, log_profile=False, log_data=False, silent=False, verbose=True, profile=False)']
['2020-07-29 09', '49', '14,049', 'INFO', 'Checking environment']
['2020-07-29 09', '49', '14,049', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '49', '14,050', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '49', '14,050', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '49', '14,050', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '49', '14,097', 'INFO', 'Memory', 'svmem(total=17032478720, available=5629382656, percent=66.9, used=11403096064, free=5629382656)']
['2020-07-29 09', '49', '14,097', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '49', '14,097', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '49', '14,097', 'INFO', 'Checking libraries']
['2020-07-29 09', '49', '14,097', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '49', '14,098', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '49', '14,935', 'INFO', 'sklearn==0.23.1']
['2020-07-29 09', '49', '15,080', 'INFO', 'xgboost==1.1.1']
['2020-07-29 09', '49', '15,220', 'INFO', 'lightgbm==2.3.1']
['2020-07-29 09', '49', '15,339', 'INFO', 'catboost==0.23.2']
['2020-07-29 09', '49', '16,374', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '49', '16,375', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '49', '16,375', 'INFO', 'Preloading libraries']
['2020-07-29 09', '49', '16,375', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '49', '16,408', 'INFO', 'Importing libraries']
['2020-07-29 09', '49', '19,757', 'INFO', 'Copying data for preprocessing']
['2020-07-29 09', '49', '19,758', 'INFO', 'Declaring global variables']
['2020-07-29 09', '49', '19,777', 'INFO', 'Declaring preprocessing parameters']
['2020-07-29 09', '49', '19,777', 'INFO', 'Importing preprocessing module']
['2020-07-29 09', '49', '21,005', 'INFO', 'Creating preprocessing pipeline']
['2020-07-29 09', '49', '22,813', 'INFO', 'Preprocessing pipeline created successfully']
['2020-07-29 09', '49', '22,813', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '22,814', 'INFO', 'Creating grid variables']
['2020-07-29 09', '49', '22,818', 'INFO', 'Creating global containers']
['2020-07-29 09', '49', '22,997', 'INFO', 'Logging experiment in MLFlow']
['2020-07-29 09', '49', '23,497', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '23,497', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '23,514', 'INFO', 'save_model(model=Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), model_name=Transformation Pipeline, verbose=False)']
['2020-07-29 09', '49', '23,514', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '23,528', 'INFO', 'Transformation Pipeline.pkl saved in current working directory']
['2020-07-29 09', '49', '23,556', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), None]']
['2020-07-29 09', '49', '23,557', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '23,557', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '24,045', 'INFO', 'create_model_container', '0']
['2020-07-29 09', '49', '24,045', 'INFO', 'master_model_container', '0']
['2020-07-29 09', '49', '24,045', 'INFO', 'display_container', '0']
['2020-07-29 09', '49', '24,045', 'INFO', 'setup() succesfully completed......................................']
['2020-07-29 09', '49', '25,845', 'INFO', 'Initializing compare_models()']
['2020-07-29 09', '49', '25,845', 'INFO', 'compare_models(blacklist=None, whitelist=None, fold=5, round=4, sort=R2, n_select=1, turbo=True, verbose=True)']
['2020-07-29 09', '49', '25,845', 'INFO', 'Checking exceptions']
['2020-07-29 09', '49', '25,846', 'INFO', 'Preloading libraries']
['2020-07-29 09', '49', '25,846', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '49', '25,953', 'INFO', 'Copying training dataset']
['2020-07-29 09', '49', '25,957', 'INFO', 'Importing libraries']
['2020-07-29 09', '49', '25,997', 'INFO', 'Importing untrained models']
['2020-07-29 09', '49', '26,001', 'INFO', 'Import successful']
['2020-07-29 09', '49', '26,023', 'INFO', 'Defining folds']
['2020-07-29 09', '49', '26,023', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '49', '26,023', 'INFO', 'Initializing Linear Regression']
['2020-07-29 09', '49', '26,050', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '26,072', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '26,081', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '26,097', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '26,098', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '26,243', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '26,280', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '26,291', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '26,298', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '26,298', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '26,372', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '26,407', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '26,424', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '26,430', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '26,430', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '26,489', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '26,529', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '26,542', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '26,547', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '26,547', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '26,627', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '26,685', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '26,695', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '26,701', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '26,702', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '26,784', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '26,787', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '26,947', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '27,492', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '27,492', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '27,496', 'INFO', 'save_model(model=LinearRegression(copy_X=True, fit_intercept=True, n_jobs=-1, normalize=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '27,496', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '27,584', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '27,637', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), LinearRegression(copy_X=True, fit_intercept=True, n_jobs=-1, normalize=False), None]']
['2020-07-29 09', '49', '27,638', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '27,638', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '27,641', 'INFO', 'Rendering Visual']
['2020-07-29 09', '49', '27,775', 'INFO', 'Initializing Lasso Regression']
['2020-07-29 09', '49', '27,790', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '27,809', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '27,819', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '27,824', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '27,824', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '27,842', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '27,862', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '27,871', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '27,876', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '27,876', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '27,899', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '27,909', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '49', '27,910', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '49', '27,921', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '27,931', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '27,939', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '27,939', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '27,968', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '27,993', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,006', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,013', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,014', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,044', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '28,072', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,083', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,091', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,091', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,118', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '28,119', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '28,162', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '28,366', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '28,367', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '28,367', 'INFO', 'save_model(model=Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000,']
['normalize=False, positive=False, precompute=False, random_state=123,']
["selection='cyclic', tol=0.0001, warm_start=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '28,368', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '28,392', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '28,410', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), Lasso(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=1000,']
['normalize=False, positive=False, precompute=False, random_state=123,']
["selection='cyclic', tol=0.0001, warm_start=False), None]"]
['2020-07-29 09', '49', '28,410', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '28,410', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '28,583', 'INFO', 'Initializing Ridge Regression']
['2020-07-29 09', '49', '28,598', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '28,599', 'INFO', "save_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), model_name=iforest, verbose=True)']
['2020-07-29 09', '49', '28,600', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '28,607', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '28,630', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,638', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,645', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,645', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,663', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '28,682', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,692', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,697', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,697', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,720', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '28,744', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,752', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,758', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,759', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,766', 'INFO', 'iforest.pkl saved in current working directory']
['2020-07-29 09', '49', '28,782', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '28,787', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0)]']
['2020-07-29 09', '49', '28,788', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '28,808', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,818', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,826', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,826', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,853', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '28,878', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '28,886', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '28,893', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '28,893', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '28,917', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '28,918', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '28,963', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '29,109', 'INFO', 'Initializing deploy_model()']
['2020-07-29 09', '49', '29,111', 'INFO', "deploy_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
["random_state=123, verbose=0), model_name=iforest-aws, authentication={'bucket'", "'pycaret-test'}, platform=aws)"]
['2020-07-29 09', '49', '29,111', 'INFO', 'Platform', 'AWS S3']
['2020-07-29 09', '49', '29,245', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '29,245', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '29,246', 'INFO', 'save_model(model=Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None,']
["normalize=False, random_state=123, solver='auto', tol=0.001), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '29,247', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '29,272', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '29,288', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), Ridge(alpha=1.0, copy_X=True, fit_intercept=True, max_iter=None,']
["normalize=False, random_state=123, solver='auto', tol=0.001), None]"]
['2020-07-29 09', '49', '29,289', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '29,289', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '29,429', 'INFO', 'Saving model in current working directory']
['2020-07-29 09', '49', '29,430', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '29,430', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '29,430', 'INFO', "save_model(model=IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0), model_name=iforest-aws, verbose=False)']
['2020-07-29 09', '49', '29,431', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '29,481', 'INFO', 'Initializing Elastic Net']
['2020-07-29 09', '49', '29,503', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '29,528', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '29,540', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '29,545', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '29,546', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '29,573', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '29,595', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '29,606', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '29,614', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '29,615', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '29,654', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '29,677', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '29,689', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '29,697', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '29,697', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '29,698', 'INFO', 'iforest-aws.pkl saved in current working directory']
['2020-07-29 09', '49', '29,722', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_L...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0)]']
['2020-07-29 09', '49', '29,722', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '29,723', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '29,723', 'INFO', 'Initializing S3 client']
['2020-07-29 09', '49', '29,729', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '29,755', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '29,767', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '29,776', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '29,776', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '29,804', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '29,831', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '29,843', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '29,850', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '29,850', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '29,888', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '29,891', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '29,955', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '30,209', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '30,210', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '30,211', 'INFO', 'save_model(model=ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5,']
['max_iter=1000, normalize=False, positive=False, precompute=False,']
["random_state=123, selection='cyclic', tol=0.0001, warm_start=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '30,211', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '30,234', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '30,256', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), ElasticNet(alpha=1.0, copy_X=True, fit_intercept=True, l1_ratio=0.5,']
['max_iter=1000, normalize=False, positive=False, precompute=False,']
["random_state=123, selection='cyclic', tol=0.0001, warm_start=False), None]"]
['2020-07-29 09', '49', '30,256', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '30,257', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '30,444', 'INFO', 'Initializing Least Angle Regression']
['2020-07-29 09', '49', '30,464', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '30,487', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '30,514', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '30,521', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '30,521', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '30,546', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '30,571', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '30,595', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '30,600', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '30,600', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '30,630', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '30,652', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '30,670', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '30,677', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '30,678', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '30,704', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '30,731', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '30,752', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '30,759', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '30,759', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '30,783', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '30,813', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '30,830', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '30,838', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '30,839', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '30,858', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '30,859', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '30,898', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '31,084', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '31,084', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '31,085', 'INFO', 'save_model(model=Lars(copy_X=True, eps=2.220446049250313e-16, fit_intercept=True, fit_path=True,']
["jitter=None, n_nonzero_coefs=500, normalize=True, precompute='auto',"]
['random_state=None, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '31,085', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '31,100', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '31,113', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), Lars(copy_X=True, eps=2.220446049250313e-16, fit_intercept=True, fit_path=True,']
["jitter=None, n_nonzero_coefs=500, normalize=True, precompute='auto',"]
['random_state=None, verbose=False), None]']
['2020-07-29 09', '49', '31,114', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '31,114', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '31,259', 'INFO', 'Initializing Lasso Least Angle Regression']
['2020-07-29 09', '49', '31,273', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '31,290', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '31,303', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '31,307', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '31,307', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '31,322', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '31,337', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '31,349', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '31,353', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '31,354', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '31,371', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '31,385', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '31,397', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '31,401', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '31,401', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '31,418', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '31,435', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '31,447', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '31,454', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '31,454', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '31,476', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '31,493', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '31,505', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '31,510', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '31,510', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '31,533', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '31,535', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '31,571', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '31,659', 'INFO', "IForest(behaviour='new', bootstrap=False, contamination=0.05,"]
["max_features=1.0, max_samples='auto', n_estimators=100, n_jobs=1,"]
['random_state=123, verbose=0)']
['2020-07-29 09', '49', '31,660', 'INFO', 'deploy_model() succesfully completed......................................']
['2020-07-29 09', '49', '31,676', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '49', '31,677', 'INFO', 'get_config(variable=X)']
['2020-07-29 09', '49', '31,677', 'INFO', 'Global variable', 'X returned']
['2020-07-29 09', '49', '31,678', 'INFO', 'get_config() succesfully completed......................................']
['2020-07-29 09', '49', '31,728', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '49', '31,729', 'INFO', 'get_config(variable=seed)']
['2020-07-29 09', '49', '31,729', 'INFO', 'Global variable', 'seed returned']
['2020-07-29 09', '49', '31,729', 'INFO', 'get_config() succesfully completed......................................']
['2020-07-29 09', '49', '31,747', 'INFO', 'Initializing set_config()']
['2020-07-29 09', '49', '31,748', 'INFO', 'set_config(variable=seed, value=999)']
['2020-07-29 09', '49', '31,748', 'INFO', 'Global variable', 'seed updated']
['2020-07-29 09', '49', '31,748', 'INFO', 'set_config() succesfully completed......................................']
['2020-07-29 09', '49', '31,762', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '49', '31,763', 'INFO', 'get_config(variable=seed)']
['2020-07-29 09', '49', '31,764', 'INFO', 'Global variable', 'seed returned']
['2020-07-29 09', '49', '31,764', 'INFO', 'get_config() succesfully completed......................................']
['2020-07-29 09', '49', '31,768', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '31,768', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '31,770', 'INFO', 'save_model(model=LassoLars(alpha=1.0, copy_X=True, eps=2.220446049250313e-16, fit_intercept=True,']
['fit_path=True, jitter=None, max_iter=500, normalize=True,']
["positive=False, precompute='auto', random_state=None, verbose=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '31,770', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '31,804', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '31,838', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), LassoLars(alpha=1.0, copy_X=True, eps=2.220446049250313e-16, fit_intercept=True,']
['fit_path=True, jitter=None, max_iter=500, normalize=True,']
["positive=False, precompute='auto', random_state=None, verbose=False), None]"]
['2020-07-29 09', '49', '31,838', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '31,839', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '32,048', 'INFO', 'Initializing Orthogonal Matching Pursuit']
['2020-07-29 09', '49', '32,071', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '32,100', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '32,114', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '32,120', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '32,121', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '32,149', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '32,171', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '32,182', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '32,189', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '32,190', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '32,214', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '32,239', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '32,251', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '32,259', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '32,259', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '32,293', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '32,320', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '32,332', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '32,339', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '32,340', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '32,364', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '32,391', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '32,401', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '32,410', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '32,410', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '32,438', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '32,439', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '32,496', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '32,721', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '32,721', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '32,722', 'INFO', 'save_model(model=OrthogonalMatchingPursuit(fit_intercept=True, n_nonzero_coefs=None,']
["normalize=True, precompute='auto', tol=None), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '32,723', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '32,747', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '32,777', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), OrthogonalMatchingPursuit(fit_intercept=True, n_nonzero_coefs=None,']
["normalize=True, precompute='auto', tol=None), None]"]
['2020-07-29 09', '49', '32,778', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '32,778', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '33,009', 'INFO', 'Initializing Bayesian Ridge']
['2020-07-29 09', '49', '33,039', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '33,069', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '33,090', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '33,097', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '33,097', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '33,123', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '33,148', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '33,166', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '33,174', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '33,174', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '33,201', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '33,231', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '33,253', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '33,263', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '33,264', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '33,299', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '33,329', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '33,346', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '33,355', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '33,356', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '33,388', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '33,414', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '33,433', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '33,441', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '33,441', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '33,467', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '33,469', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '33,543', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '33,846', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '33,846', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '33,848', 'INFO', 'save_model(model=BayesianRidge(alpha_1=1e-06, alpha_2=1e-06, alpha_init=None,']
['compute_score=False, copy_X=True, fit_intercept=True,']
['lambda_1=1e-06, lambda_2=1e-06, lambda_init=None, n_iter=300,']
['normalize=False, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '33,848', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '33,884', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '33,914', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), BayesianRidge(alpha_1=1e-06, alpha_2=1e-06, alpha_init=None,']
['compute_score=False, copy_X=True, fit_intercept=True,']
['lambda_1=1e-06, lambda_2=1e-06, lambda_init=None, n_iter=300,']
['normalize=False, tol=0.001, verbose=False), None]']
['2020-07-29 09', '49', '33,914', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '33,914', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '34,122', 'INFO', 'Initializing Passive Aggressive Regressor']
['2020-07-29 09', '49', '34,147', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '34,176', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '34,202', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '34,208', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '34,208', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '34,230', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '34,248', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '34,269', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '34,274', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '34,275', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '34,299', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '34,327', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '34,354', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '34,362', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '34,363', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '34,396', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '34,425', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '34,454', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '34,458', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '34,459', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '34,488', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '34,517', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '34,543', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '34,551', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '34,552', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '34,582', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '34,584', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '34,638', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '34,855', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '34,855', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '34,857', 'INFO', 'save_model(model=PassiveAggressiveRegressor(C=1.0, average=False, early_stopping=False,']
['epsilon=0.1, fit_intercept=True,']
["loss='epsilon_insensitive', max_iter=1000,"]
['n_iter_no_change=5, random_state=123, shuffle=True,']
['tol=0.001, validation_fraction=0.1, verbose=0,']
['warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '34,857', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '34,884', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '34,912', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), PassiveAggressiveRegressor(C=1.0, average=False, early_stopping=False,']
['epsilon=0.1, fit_intercept=True,']
["loss='epsilon_insensitive', max_iter=1000,"]
['n_iter_no_change=5, random_state=123, shuffle=True,']
['tol=0.001, validation_fraction=0.1, verbose=0,']
['warm_start=False), None]']
['2020-07-29 09', '49', '34,912', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '34,912', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '35,070', 'INFO', 'Initializing Random Sample Consensus']
['2020-07-29 09', '49', '35,086', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '35,110', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '35,317', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '35,323', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '35,324', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '35,341', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '35,357', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '35,576', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '35,580', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '35,581', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '35,600', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '35,617', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '35,900', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '35,907', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '35,908', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '35,938', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '35,965', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '36,277', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '36,283', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '36,283', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '36,307', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '36,328', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '36,615', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '36,620', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '36,620', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '36,638', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '36,639', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '36,682', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '36,866', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '36,866', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '36,867', 'INFO', 'save_model(model=RANSACRegressor(base_estimator=None, is_data_valid=None, is_model_valid=None,']
["loss='absolute_loss', max_skips=inf, max_trials=100,"]
['min_samples=0.5, random_state=123, residual_threshold=None,']
['stop_n_inliers=inf, stop_probability=0.99, stop_score=inf), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '36,867', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '36,881', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '36,893', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), RANSACRegressor(base_estimator=None, is_data_valid=None, is_model_valid=None,']
["loss='absolute_loss', max_skips=inf, max_trials=100,"]
['min_samples=0.5, random_state=123, residual_threshold=None,']
['stop_n_inliers=inf, stop_probability=0.99, stop_score=inf), None]']
['2020-07-29 09', '49', '36,893', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '36,894', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '37,043', 'INFO', 'Initializing TheilSen Regressor']
['2020-07-29 09', '49', '37,062', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '37,081', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '45,284', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '45,289', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '45,289', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '45,308', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '45,327', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '47,087', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '47,092', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '47,093', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '47,110', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '47,130', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '48,914', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '48,918', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '48,919', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '48,938', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '48,960', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '50,969', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '50,974', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '50,974', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '50,997', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '51,022', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '52,626', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '52,633', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '52,633', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '52,651', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '52,651', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '52,706', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '53,189', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '53,190', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '53,191', 'INFO', 'save_model(model=TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300,']
['max_subpopulation=10000, n_jobs=-1, n_subsamples=None,']
['random_state=123, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '53,191', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '53,205', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '53,219', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), TheilSenRegressor(copy_X=True, fit_intercept=True, max_iter=300,']
['max_subpopulation=10000, n_jobs=-1, n_subsamples=None,']
['random_state=123, tol=0.001, verbose=False), None]']
['2020-07-29 09', '49', '53,220', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '53,220', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '53,380', 'INFO', 'Initializing Huber Regressor']
['2020-07-29 09', '49', '53,393', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '53,418', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '53,583', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '53,587', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '53,587', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '53,608', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '53,627', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '53,750', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '53,755', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '53,755', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '53,775', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '53,797', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '53,937', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '53,943', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '53,944', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '53,964', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '53,987', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '54,134', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '54,141', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '54,141', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '54,160', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '54,180', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '54,320', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '54,325', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '54,326', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '54,347', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '54,348', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '54,389', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '54,547', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '54,547', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '54,547', 'INFO', 'save_model(model=HuberRegressor(alpha=0.0001, epsilon=1.35, fit_intercept=True, max_iter=100,']
['tol=1e-05, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '49', '54,548', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '54,560', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '54,572', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
['verbose=False), HuberRegressor(alpha=0.0001, epsilon=1.35, fit_intercept=True, max_iter=100,']
['tol=1e-05, warm_start=False), None]']
['2020-07-29 09', '49', '54,573', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '54,573', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '54,742', 'INFO', 'Initializing Support Vector Machine']
['2020-07-29 09', '49', '54,758', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '54,775', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '54,906', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '54,927', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '54,928', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '54,956', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '54,983', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '55,088', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '55,109', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '55,109', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '55,136', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '55,173', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '55,286', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '55,308', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '55,309', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '55,353', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '55,376', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '55,499', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '55,525', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '55,525', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '55,579', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '55,643', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '55,789', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '55,814', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '55,815', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '55,874', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '55,877', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '55,972', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '56,261', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '56,261', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '56,263', 'INFO', "save_model(model=SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='scale',"]
["kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '56,263', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '56,290', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '56,309', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), SVR(C=1.0, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma='scale',"]
["kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False), None]"]
['2020-07-29 09', '49', '56,309', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '56,310', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '56,443', 'INFO', 'Initializing K Neighbors Regressor']
['2020-07-29 09', '49', '56,461', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '56,479', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '56,490', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '56,608', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '56,608', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '56,633', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '56,648', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '56,658', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '56,771', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '56,772', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '56,792', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '56,812', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '56,829', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '56,946', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '56,946', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '56,965', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '56,984', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '56,995', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,106', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,107', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,121', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '57,136', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,143', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,254', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,254', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,273', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '57,273', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '57,305', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '57,442', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '57,442', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '57,443', 'INFO', "save_model(model=KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',"]
['metric_params=None, n_jobs=-1, n_neighbors=5, p=2,']
["weights='uniform'), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '57,443', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '57,456', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '57,468', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), KNeighborsRegressor(algorithm='auto', leaf_size=30, metric='minkowski',"]
['metric_params=None, n_jobs=-1, n_neighbors=5, p=2,']
["weights='uniform'), None]"]
['2020-07-29 09', '49', '57,469', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '57,469', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '57,561', 'INFO', 'Initializing Decision Tree']
['2020-07-29 09', '49', '57,572', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '57,586', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,595', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,599', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,599', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,611', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '57,626', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,641', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,646', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,647', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,671', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '57,697', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,714', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,720', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,721', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,747', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '49', '57,776', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,794', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,802', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,802', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,827', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '49', '57,844', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '57,856', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '57,861', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '57,861', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '57,880', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '49', '57,882', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '49', '57,920', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '49', '58,087', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '49', '58,088', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '49', '58,089', 'INFO', "save_model(model=DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', 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=123, splitter='best'), model_name=Trained Model, verbose=False)"]
['2020-07-29 09', '49', '58,090', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '49', '58,105', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '49', '58,125', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), DecisionTreeRegressor(ccp_alpha=0.0, criterion='mse', 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=123, splitter='best'), None]"]
['2020-07-29 09', '49', '58,126', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '49', '58,126', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '49', '58,253', 'INFO', 'Initializing Random Forest']
['2020-07-29 09', '49', '58,267', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '49', '58,286', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '58,838', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '58,950', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '58,951', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '58,967', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '49', '58,988', 'INFO', 'Fitting Model']
['2020-07-29 09', '49', '59,551', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '49', '59,666', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '49', '59,667', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '49', '59,693', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '49', '59,726', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '00,434', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '00,551', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '00,552', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '00,569', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '00,585', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '01,120', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '01,231', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '01,232', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '01,249', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '01,269', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '01,827', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '01,937', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '01,937', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '01,951', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '01,952', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '01,989', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '02,150', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '02,150', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '02,151', 'INFO', "save_model(model=RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '02,151', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '02,248', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '02,262', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), RandomForestRegressor(bootstrap=True, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), None]']
['2020-07-29 09', '50', '02,263', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '02,263', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '02,392', 'INFO', 'Initializing Extra Trees Regressor']
['2020-07-29 09', '50', '02,406', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '02,420', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '02,827', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '02,938', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '02,938', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '02,953', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '02,969', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '03,270', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '03,380', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '03,380', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '03,395', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '03,411', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '03,707', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '03,821', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '03,821', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '03,841', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '03,855', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '04,177', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '04,286', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '04,286', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '04,302', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '04,315', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '04,609', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '04,719', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '04,719', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '04,731', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '04,732', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '04,773', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '04,942', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '04,942', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '04,943', 'INFO', "save_model(model=ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '04,943', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '05,031', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '05,043', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), ExtraTreesRegressor(bootstrap=False, ccp_alpha=0.0, criterion='mse',"]
["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=123, verbose=0, warm_start=False), None]']
['2020-07-29 09', '50', '05,043', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '05,043', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '05,162', 'INFO', 'Initializing AdaBoost Regressor']
['2020-07-29 09', '50', '05,174', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '05,191', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '05,255', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '05,260', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '05,260', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '05,273', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '05,288', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '05,331', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '05,337', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '05,337', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '05,349', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '05,363', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '05,396', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '05,402', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '05,402', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '05,416', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '05,434', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '05,466', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '05,471', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '05,472', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '05,486', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '05,500', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '05,548', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '05,555', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '05,555', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '05,569', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '05,570', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '05,608', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '05,786', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '05,786', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '05,786', 'INFO', "save_model(model=AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',"]
['n_estimators=50, random_state=123), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '05,786', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '05,802', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '05,813', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), AdaBoostRegressor(base_estimator=None, learning_rate=1.0, loss='linear',"]
['n_estimators=50, random_state=123), None]']
['2020-07-29 09', '50', '05,813', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '05,814', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '05,897', 'INFO', 'Initializing Gradient Boosting Regressor']
['2020-07-29 09', '50', '05,908', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '05,922', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '06,084', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '06,089', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '06,089', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '06,101', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '06,113', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '06,270', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '06,273', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '06,273', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '06,285', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '06,299', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '06,448', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '06,452', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '06,452', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '06,464', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '06,479', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '06,630', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '06,634', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '06,634', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '06,645', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '06,659', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '06,809', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '06,813', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '06,813', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '06,824', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '06,825', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '06,856', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '07,002', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '07,002', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '07,003', 'INFO', "save_model(model=GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='friedman_mse',"]
["init=None, learning_rate=0.1, loss='ls', 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=123, subsample=1.0, tol=0.0001,']
['validation_fraction=0.1, verbose=0, warm_start=False), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '07,003', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '07,018', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '07,028', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='friedman_mse',"]
["init=None, learning_rate=0.1, loss='ls', 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=123, subsample=1.0, tol=0.0001,']
['validation_fraction=0.1, verbose=0, warm_start=False), None]']
['2020-07-29 09', '50', '07,029', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '07,029', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '07,161', 'INFO', 'Initializing Extreme Gradient Boosting']
['2020-07-29 09', '50', '07,173', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '07,190', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '07,362', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '07,368', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '07,369', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '07,394', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '07,416', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '07,586', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '07,592', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '07,592', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '07,620', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '07,643', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '07,828', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '07,834', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '07,834', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '07,863', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '07,887', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '08,074', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '08,081', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '08,081', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '08,110', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '08,135', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '08,339', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '08,346', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '08,346', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '08,375', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '08,376', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '08,448', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '08,679', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '08,680', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '08,686', 'INFO', "save_model(model=XGBRegressor(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=6,']
["min_child_weight=1, missing=nan, monotone_constraints='()',"]
['n_estimators=100, n_jobs=-1, num_parallel_tree=1,']
["objective='reg", "squarederror', random_state=123, reg_alpha=0,"]
["reg_lambda=1, scale_pos_weight=1, subsample=1, tree_method='exact',"]
['validate_parameters=1, verbosity=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '08,686', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '08,711', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '08,730', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), XGBRegressor(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=6,']
["min_child_weight=1, missing=nan, monotone_constraints='()',"]
['n_estimators=100, n_jobs=-1, num_parallel_tree=1,']
["objective='reg", "squarederror', random_state=123, reg_alpha=0,"]
["reg_lambda=1, scale_pos_weight=1, subsample=1, tree_method='exact',"]
['validate_parameters=1, verbosity=0), None]']
['2020-07-29 09', '50', '08,730', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '08,730', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '08,868', 'INFO', 'Initializing Light Gradient Boosting Machine']
['2020-07-29 09', '50', '08,881', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '08,901', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '09,213', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '09,226', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '09,226', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '09,258', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '09,282', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '09,525', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '09,535', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '09,535', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '09,567', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '09,592', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '09,871', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '09,882', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '09,882', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '09,913', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '09,938', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '10,228', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '10,241', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '10,241', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '10,271', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '10,299', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '10,568', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '10,579', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '10,579', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '10,610', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '10,612', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '10,683', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '10,933', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '10,933', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '10,936', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '10,936', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '10,982', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '11,014', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
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["('dfs', Empty()), ('pca', Empty())],"]
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["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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '50', '11,015', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '11,015', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '11,186', 'INFO', 'Initializing CatBoost Regressor']
['2020-07-29 09', '50', '11,198', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '11,213', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '15,134', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '15,140', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '15,140', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '15,156', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '15,174', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '19,173', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '19,181', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '19,181', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '19,199', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '19,214', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '20,317', 'INFO', 'PyCaret Clustering Module']
['2020-07-29 09', '50', '20,317', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '50', '20,317', 'INFO', 'Initializing setup()']
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['2020-07-29 09', '50', '20,318', 'INFO', 'setup(data=(224, 21), categorical_features=None, categorical_imputation=constant, ordinal_features=None, high_cardinality_features=None,']
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['2020-07-29 09', '50', '20,318', 'INFO', 'Checking environment']
['2020-07-29 09', '50', '20,318', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '50', '20,318', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '50', '20,318', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '50', '20,319', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
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['2020-07-29 09', '50', '20,402', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '50', '20,402', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '50', '20,402', 'INFO', 'Checking libraries']
['2020-07-29 09', '50', '20,402', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '50', '20,402', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '50', '22,550', 'INFO', 'sklearn==0.23.1']
['2020-07-29 09', '50', '22,554', 'INFO', 'kmodes==0.10.2']
['2020-07-29 09', '50', '23,217', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '23,224', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '23,224', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '23,238', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '23,257', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '25,615', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '50', '25,615', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '50', '25,616', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '25,827', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '25,889', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '25,889', 'INFO', 'Declaring global variables']
['2020-07-29 09', '50', '25,889', 'INFO', 'Copying data for preprocessing']
['2020-07-29 09', '50', '25,902', 'INFO', 'Declaring preprocessing parameters']
['2020-07-29 09', '50', '25,902', 'INFO', 'Importing preprocessing module']
['2020-07-29 09', '50', '27,230', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '27,237', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '27,237', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '27,252', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '27,271', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '29,232', 'INFO', 'Creating preprocessing pipeline']
['2020-07-29 09', '50', '31,016', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '31,022', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '50', '31,022', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '31,035', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '31,036', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '31,082', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '31,207', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '31,207', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '31,207', 'INFO', 'save_model(model=<catboost.core.CatBoostRegressor object at 0x000002C1CBBE6C50>, model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '31,207', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '31,227', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '31,240', 'INFO', '[Pipeline(memory=None,']
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['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
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['verbose=False), <catboost.core.CatBoostRegressor object at 0x000002C1CBBE6C50>, None]']
['2020-07-29 09', '50', '31,240', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '31,240', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '31,614', 'INFO', 'Finalizing top_n models']
['2020-07-29 09', '50', '31,615', 'INFO', 'SubProcess create_model() called ==================================']
['2020-07-29 09', '50', '31,630', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '31,630', 'INFO', 'create_model(estimator=gbr, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=False)']
['2020-07-29 09', '50', '31,630', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '31,630', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '31,631', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '31,652', 'INFO', 'Copying training dataset']
['2020-07-29 09', '50', '31,653', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '31,655', 'INFO', 'Defining folds']
['2020-07-29 09', '50', '31,655', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '50', '31,656', 'INFO', 'Gradient Boosting Regressor Imported succesfully']
['2020-07-29 09', '50', '31,657', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '50', '31,659', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '31,662', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '31,827', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '31,831', 'INFO', 'No inverse transformation']
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['2020-07-29 09', '50', '32,017', 'INFO', 'No inverse transformation']
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['2020-07-29 09', '50', '32,031', 'INFO', 'Fitting Model']
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['2020-07-29 09', '50', '32,187', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '32,187', 'INFO', 'Compiling Metrics']
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['2020-07-29 09', '50', '32,201', 'INFO', 'Fitting Model']
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['2020-07-29 09', '50', '32,351', 'INFO', 'No inverse transformation']
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['2020-07-29 09', '50', '32,362', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '32,364', 'INFO', 'Fitting Model']
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['2020-07-29 09', '50', '32,714', 'INFO', 'Initializing Fold 7']
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['2020-07-29 09', '50', '32,866', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '32,869', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '32,869', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '32,881', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '50', '32,885', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '33,045', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '33,049', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '33,050', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '33,061', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '50', '33,064', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '33,222', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '33,225', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '33,226', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '33,235', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '50', '33,237', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '33,386', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '33,389', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '33,389', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '33,399', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '33,400', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '33,408', 'INFO', 'Finalizing model']
['2020-07-29 09', '50', '33,570', 'INFO', 'Uploading results into container']
['2020-07-29 09', '50', '33,570', 'INFO', 'Uploading model into container']
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['2020-07-29 09', '50', '33,572', 'INFO', "GradientBoostingRegressor(alpha=0.9, ccp_alpha=0.0, criterion='friedman_mse',"]
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['2020-07-29 09', '50', '33,572', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '50', '33,572', 'INFO', 'SubProcess create_model() end ==================================']
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['2020-07-29 09', '50', '33,737', 'INFO', 'compare_models() succesfully completed......................................']
['2020-07-29 09', '50', '38,592', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '38,593', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=True, system=True)']
['2020-07-29 09', '50', '38,593', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '38,593', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '38,593', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '38,629', 'INFO', 'Copying training dataset']
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['2020-07-29 09', '50', '38,639', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '50', '38,640', 'INFO', 'Checking ensemble method']
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['2020-07-29 09', '50', '38,656', 'INFO', 'Fitting Model']
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['2020-07-29 09', '50', '38,857', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '38,857', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '38,908', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '38,925', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '39,151', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '39,159', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '39,159', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '39,219', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '39,239', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '39,508', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '39,518', 'INFO', 'No inverse transformation']
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['2020-07-29 09', '50', '39,580', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '39,603', 'INFO', 'Fitting Model']
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['2020-07-29 09', '50', '39,919', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '39,920', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '39,994', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '40,018', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '40,307', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '40,315', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '40,316', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '40,402', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '50', '40,424', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '40,753', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '40,763', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '40,764', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '40,860', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '50', '40,885', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '41,203', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '41,212', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '41,213', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '41,289', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '50', '41,312', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '41,654', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '41,665', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '41,665', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '41,742', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '50', '41,764', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '42,039', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '42,049', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '42,050', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '42,129', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '50', '42,151', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '42,228', 'INFO', 'Preprocessing pipeline created successfully']
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['2020-07-29 09', '50', '42,511', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '42,521', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '42,521', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '42,601', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '42,606', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '42,633', 'INFO', 'Finalizing model']
['2020-07-29 09', '50', '42,983', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '43,314', 'INFO', 'Logging experiment in MLFlow']
['2020-07-29 09', '50', '43,501', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '43,502', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '43,503', 'INFO', "save_model(model=LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,"]
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['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '43,504', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '43,542', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '43,572', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
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["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '50', '43,573', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '43,573', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '43,664', 'INFO', 'Uploading results into container']
['2020-07-29 09', '50', '43,664', 'INFO', 'Uploading model into container']
['2020-07-29 09', '50', '43,819', 'INFO', 'create_model_container', '2']
['2020-07-29 09', '50', '43,819', 'INFO', 'master_model_container', '2']
['2020-07-29 09', '50', '43,819', 'INFO', 'display_container', '3']
['2020-07-29 09', '50', '43,821', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '50', '43,821', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '50', '43,841', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '43,842', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '50', '43,842', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '43,843', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '43,843', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '43,885', 'INFO', 'Copying training dataset']
['2020-07-29 09', '50', '43,886', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '43,889', 'INFO', 'Defining folds']
['2020-07-29 09', '50', '43,889', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '50', '43,890', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '50', '43,893', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '50', '43,895', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '43,901', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '44,135', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '44,136', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '44,171', 'INFO', 'save_model(model=Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), model_name=Transformation Pipeline, verbose=False)']
['2020-07-29 09', '50', '44,172', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '44,203', 'INFO', 'Transformation Pipeline.pkl saved in current working directory']
['2020-07-29 09', '50', '44,258', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False), Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)]']
['2020-07-29 09', '50', '44,258', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '44,259', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '44,437', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '44,448', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '44,448', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '44,477', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '44,483', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '44,521', 'INFO', 'Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
['verbose=False)']
['2020-07-29 09', '50', '44,521', 'INFO', 'setup() succesfully completed......................................']
['2020-07-29 09', '50', '44,623', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '44,624', 'INFO', 'create_model(model=kmeans, num_clusters=4, ground_truth=None, verbose=True, system=True)']
['2020-07-29 09', '50', '44,625', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '44,625', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '44,625', 'INFO', 'Setting num_cluster param']
['2020-07-29 09', '50', '44,626', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '44,690', 'INFO', 'Importing untrained model']
['2020-07-29 09', '50', '44,690', 'INFO', 'K-Means Clustering Imported succesfully']
['2020-07-29 09', '50', '44,711', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '44,901', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '44,946', 'INFO', 'Creating Metrics dataframe']
['2020-07-29 09', '50', '44,956', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '45,024', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '45,037', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '45,038', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '45,068', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '45,074', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '45,271', 'INFO', 'SubProcess plot_model() called ==================================']
['2020-07-29 09', '50', '45,271', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '50', '45,273', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '50', '45,273', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '45,273', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '45,551', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '45,564', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '45,565', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '45,597', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '45,608', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '46,101', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '46,111', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '46,112', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '46,140', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '46,145', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '46,487', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '46,498', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '46,499', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '46,530', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '50', '46,538', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '46,999', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '47,011', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '47,011', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '47,042', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '50', '47,047', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '47,395', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '47,408', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '47,408', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '47,437', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '50', '47,442', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '47,856', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '47,866', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '47,867', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '47,897', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '50', '47,905', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '48,279', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '48,290', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '48,291', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '48,325', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '50', '48,330', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '48,701', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '48,712', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '48,713', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '48,743', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '48,748', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '48,768', 'INFO', 'Finalizing model']
['2020-07-29 09', '50', '49,134', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '49,651', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '49,651', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '49,652', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '49,653', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '49,697', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '49,727', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '50', '49,728', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '49,728', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '49,815', 'INFO', 'Uploading results into container']
['2020-07-29 09', '50', '49,815', 'INFO', 'Uploading model into container']
['2020-07-29 09', '50', '49,815', 'INFO', 'create_model_container', '3']
['2020-07-29 09', '50', '49,815', 'INFO', 'master_model_container', '3']
['2020-07-29 09', '50', '49,815', 'INFO', 'display_container', '4']
['2020-07-29 09', '50', '49,817', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '50', '49,817', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '50', '49,818', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '49,818', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '50', '49,818', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '49,818', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '49,819', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '49,851', 'INFO', 'Copying training dataset']
['2020-07-29 09', '50', '49,852', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '49,855', 'INFO', 'Defining folds']
['2020-07-29 09', '50', '49,855', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '50', '49,857', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '50', '49,860', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '50', '49,862', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '49,868', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '50,229', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '50,237', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '50,238', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '50,268', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '50', '50,273', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '50,640', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '50,650', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '50,650', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '50,680', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '50', '50,687', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '51,379', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '50', '51,379', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '50', '51,379', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '50', '51,381', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '50', '51,381', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '51,382', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '51,382', 'INFO', 'Copying data']
['2020-07-29 09', '50', '51,383', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '50', '51,383', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '51,441', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '50', '51,443', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '50', '51,443', 'INFO', '(224, 21)']
['2020-07-29 09', '50', '51,444', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '50', '51,444', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '50', '51,481', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '50', '51,501', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '50', '51,510', 'INFO', 'Rendering Visual']
['2020-07-29 09', '50', '51,800', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '51,811', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '51,811', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '51,840', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '50', '51,855', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '52,980', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '52,992', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '52,993', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '53,024', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '50', '53,029', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '53,902', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '53,914', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '53,914', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '53,950', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '50', '53,955', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '54,501', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '54,512', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '54,512', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '54,544', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '50', '54,549', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '55,374', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '55,384', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '55,384', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '55,410', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '50', '55,415', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '55,458', 'INFO', 'PyCaret NLP Module']
['2020-07-29 09', '50', '55,459', 'INFO', 'version pycaret-nightly-0.39']
['2020-07-29 09', '50', '55,459', 'INFO', 'Initializing setup()']
['2020-07-29 09', '50', '55,460', 'INFO', 'USI', '2c3d']
['2020-07-29 09', '50', '55,460', 'INFO', 'setup(data=(6818, 7), target=en, custom_stopwords=None, html=True, session_id=123, log_experiment=True,']
['experiment_name=kiva1, log_plots=True, log_data=False, verbose=True)']
['2020-07-29 09', '50', '55,460', 'INFO', 'Checking environment']
['2020-07-29 09', '50', '55,461', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '50', '55,461', 'INFO', 'python_build', "('default', 'May  7 2020 19", '46', "08')"]
['2020-07-29 09', '50', '55,461', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '50', '55,462', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '50', '55,546', 'INFO', 'Memory', 'svmem(total=17032478720, available=4700733440, percent=72.4, used=12331745280, free=4700733440)']
['2020-07-29 09', '50', '55,546', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '50', '55,547', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '50', '55,547', 'INFO', 'Checking libraries']
['2020-07-29 09', '50', '55,547', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '50', '55,547', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '50', '55,982', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '55,993', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '55,993', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '56,032', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '50', '56,038', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '56,505', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '56,516', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '56,516', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '56,545', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '50', '56,551', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '57,714', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '50', '57,725', 'INFO', 'No inverse transformation']
['2020-07-29 09', '50', '57,725', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '50', '57,754', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '50', '57,759', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '50', '57,779', 'INFO', 'Finalizing model']
['2020-07-29 09', '50', '58,308', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '50', '58,410', 'INFO', 'gensim==3.8.3']
['2020-07-29 09', '50', '58,896', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '50', '58,897', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '50', '58,899', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '50', '58,899', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '50', '58,945', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '50', '58,978', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '50', '58,978', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '50', '58,979', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '50', '59,072', 'INFO', 'Uploading results into container']
['2020-07-29 09', '50', '59,072', 'INFO', 'Uploading model into container']
['2020-07-29 09', '50', '59,072', 'INFO', 'create_model_container', '4']
['2020-07-29 09', '50', '59,072', 'INFO', 'master_model_container', '4']
['2020-07-29 09', '50', '59,073', 'INFO', 'display_container', '5']
['2020-07-29 09', '50', '59,074', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '50', '59,075', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '50', '59,075', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '50', '59,075', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '50', '59,076', 'INFO', 'Checking exceptions']
['2020-07-29 09', '50', '59,076', 'INFO', 'Preloading libraries']
['2020-07-29 09', '50', '59,076', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '50', '59,110', 'INFO', 'Copying training dataset']
['2020-07-29 09', '50', '59,112', 'INFO', 'Importing libraries']
['2020-07-29 09', '50', '59,115', 'INFO', 'Defining folds']
['2020-07-29 09', '50', '59,115', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '50', '59,116', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '50', '59,120', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '50', '59,122', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '50', '59,129', 'INFO', 'Fitting Model']
['2020-07-29 09', '50', '59,817', 'INFO', 'spacy==2.2.4']
['2020-07-29 09', '51', '00,027', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '00,037', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '00,037', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '00,072', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '00,081', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '00,692', 'INFO', "Saving 'Cluster.html' in current active directory"]
['2020-07-29 09', '51', '00,692', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '00,692', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '00,907', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '00,919', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '00,919', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '00,948', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '00,954', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '01,313', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '01,323', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '01,323', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '01,349', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '01,354', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '01,554', 'INFO', 'nltk==3.5']
['2020-07-29 09', '51', '01,706', 'INFO', 'textblob==0.15.3']
['2020-07-29 09', '51', '01,774', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '01,783', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '01,783', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '01,814', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '01,819', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '02,155', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '02,165', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '02,165', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '02,189', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '02,190', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=distribution, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '51', '02,191', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '02,191', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '02,194', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '02,200', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '02,220', 'INFO', 'plot type', 'distribution']
['2020-07-29 09', '51', '02,221', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '02,221', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '02,223', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=False, verbose=False)']
['2020-07-29 09', '51', '02,224', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '02,224', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '02,224', 'INFO', 'Copying data']
['2020-07-29 09', '51', '02,225', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '02,271', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '02,273', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '02,274', 'INFO', '(224, 22)']
['2020-07-29 09', '51', '02,274', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '02,274', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '02,275', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '02,294', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '02,690', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '02,701', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '02,701', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '02,728', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '02,734', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '03,122', 'INFO', "Saving 'Distribution.html' in current active directory"]
['2020-07-29 09', '51', '03,122', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '03,122', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '03,236', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '03,240', 'INFO', 'pyLDAvis==2.1.2']
['2020-07-29 09', '51', '03,244', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '03,244', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '03,273', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '03,278', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '03,482', 'INFO', 'wordcloud==1.7.0']
['2020-07-29 09', '51', '03,624', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '03,636', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '03,637', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '03,663', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '03,668', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '03,979', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '03,989', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '03,989', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '04,017', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '04,023', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '04,361', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '04,371', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '04,372', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '04,400', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '04,406', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '04,424', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '04,475', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '04,477', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=elbow, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '51', '04,477', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '04,477', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '04,503', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '51', '04,642', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '51', '04,861', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '05,101', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '51', '05,102', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '51', '05,449', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '05,450', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '05,452', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '05,452', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '05,498', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '05,521', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '05,522', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '05,522', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '05,602', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '05,602', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '05,602', 'INFO', 'create_model_container', '5']
['2020-07-29 09', '51', '05,603', 'INFO', 'master_model_container', '5']
['2020-07-29 09', '51', '05,603', 'INFO', 'display_container', '6']
['2020-07-29 09', '51', '05,605', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '05,606', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '05,606', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '05,606', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '05,607', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '05,607', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '05,607', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '05,637', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '05,638', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '05,641', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '05,641', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '05,642', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '05,643', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '05,645', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '05,651', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '05,963', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '05,971', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '05,971', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '05,997', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '06,002', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '06,313', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '06,321', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '06,322', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '06,345', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '06,349', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '06,432', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '06,700', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '06,708', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '06,709', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '06,740', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '06,744', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '07,071', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '07,080', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '07,080', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '07,101', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '07,106', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '07,403', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '07,411', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '07,411', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '07,438', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '07,443', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '07,767', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '07,781', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '07,782', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '07,808', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '07,813', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '08,123', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '08,170', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '08,179', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '08,180', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '08,189', 'INFO', "Saving 'Elbow.png' in current active directory"]
['2020-07-29 09', '51', '08,189', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '08,189', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '08,207', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '08,211', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '08,234', 'INFO', 'SubProcess plot_model() end ==================================']
['2020-07-29 09', '51', '08,234', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '08,234', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '08,236', 'INFO', "save_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '08,236', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '08,262', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '08,273', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '08,285', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)]']
['2020-07-29 09', '51', '08,285', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '08,285', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '08,344', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '08,344', 'INFO', 'Declaring global variables']
['2020-07-29 09', '51', '08,345', 'INFO', 'Input provided', 'dataframe']
['2020-07-29 09', '51', '08,345', 'INFO', 'session_id set to', '123']
['2020-07-29 09', '51', '08,347', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '08,351', 'INFO', 'Importing stopwords from nltk']
['2020-07-29 09', '51', '08,398', 'INFO', "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)']
['2020-07-29 09', '51', '08,399', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '51', '08,419', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '08,419', 'INFO', 'create_model(model=kmodes, num_clusters=4, ground_truth=None, verbose=True, system=True)']
['2020-07-29 09', '51', '08,419', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '08,420', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '08,421', 'INFO', 'Setting num_cluster param']
['2020-07-29 09', '51', '08,421', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '08,484', 'INFO', 'Importing untrained model']
['2020-07-29 09', '51', '08,493', 'INFO', 'K-Modes Clustering Imported succesfully']
['2020-07-29 09', '51', '08,516', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '08,689', 'INFO', 'No custom stopwords defined']
['2020-07-29 09', '51', '08,692', 'INFO', 'Removing numeric characters from the text']
['2020-07-29 09', '51', '10,128', 'INFO', 'Removing special characters from the text']
['2020-07-29 09', '51', '14,072', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '14,083', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '14,083', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '14,112', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '14,120', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '14,712', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '14,721', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '14,722', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '14,747', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '14,751', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '15,185', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '15,195', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '15,196', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '15,225', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '15,233', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '15,250', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '15,429', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '15,460', 'INFO', 'Creating Metrics dataframe']
['2020-07-29 09', '51', '15,467', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '15,686', 'INFO', 'SubProcess plot_model() called ==================================']
['2020-07-29 09', '51', '15,687', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '15,687', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=cluster, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '51', '15,687', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '15,687', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '15,712', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '51', '15,712', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '15,712', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '15,714', 'INFO', "assign_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '51', '15,714', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '15,714', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '15,714', 'INFO', 'Copying data']
['2020-07-29 09', '51', '15,715', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '51', '15,715', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '15,750', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '15,751', 'INFO', 'Trained Model', 'K-Modes Clustering']
['2020-07-29 09', '51', '15,752', 'INFO', '(224, 21)']
['2020-07-29 09', '51', '15,752', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '15,753', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '15,768', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '51', '15,785', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '15,791', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '15,848', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '16,197', 'INFO', "Saving 'Cluster.html' in current active directory"]
['2020-07-29 09', '51', '16,197', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '16,198', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '16,439', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '16,439', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '16,441', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '16,441', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '16,481', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '16,508', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '16,508', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '16,508', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '16,609', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '16,609', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '16,610', 'INFO', 'create_model_container', '6']
['2020-07-29 09', '51', '16,610', 'INFO', 'master_model_container', '6']
['2020-07-29 09', '51', '16,610', 'INFO', 'display_container', '7']
['2020-07-29 09', '51', '16,612', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '16,612', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '16,613', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '16,613', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '16,613', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '16,613', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '16,613', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '16,641', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '16,642', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '16,644', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '16,645', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '16,646', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '16,648', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '16,650', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '16,655', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '16,986', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '16,996', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '16,996', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '17,026', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '17,032', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '17,396', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '17,407', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '17,407', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '17,433', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '17,438', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '17,523', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '17,525', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=distribution, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '51', '17,525', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '17,525', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '17,550', 'INFO', 'plot type', 'distribution']
['2020-07-29 09', '51', '17,550', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '17,551', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '17,552', 'INFO', "assign_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), transformation=False, verbose=False)']
['2020-07-29 09', '51', '17,553', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '17,553', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '17,553', 'INFO', 'Copying data']
['2020-07-29 09', '51', '17,554', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '17,595', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '17,597', 'INFO', 'Trained Model', 'K-Modes Clustering']
['2020-07-29 09', '51', '17,597', 'INFO', '(224, 22)']
['2020-07-29 09', '51', '17,597', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '17,598', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '17,598', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '17,611', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '17,786', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '17,795', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '17,795', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '17,822', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '17,828', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '18,047', 'INFO', 'Tokenizing Words']
['2020-07-29 09', '51', '18,251', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '18,259', 'INFO', "Saving 'Distribution.html' in current active directory"]
['2020-07-29 09', '51', '18,259', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '18,259', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '18,259', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '18,261', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '18,286', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '18,290', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '18,650', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '18,657', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '18,658', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '18,680', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '18,685', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '19,010', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '19,019', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '19,019', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '19,041', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '19,046', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '19,353', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '19,361', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '19,361', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '19,383', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '19,387', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '19,654', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '19,655', 'INFO', "plot_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), plot=elbow, feature=None, label=False, save=True, system=False)']
['2020-07-29 09', '51', '19,656', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '19,656', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '19,680', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '51', '19,722', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '19,743', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '19,744', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '19,776', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '51', '19,780', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '19,789', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '20,182', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '20,190', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '20,191', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '20,218', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '20,223', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '20,568', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '20,579', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '20,579', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '20,608', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '20,614', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '20,633', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '20,990', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '21,496', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '21,496', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '21,498', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '21,498', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '21,545', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '21,572', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '21,572', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '21,572', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '21,660', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '21,660', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '21,660', 'INFO', 'create_model_container', '7']
['2020-07-29 09', '51', '21,661', 'INFO', 'master_model_container', '7']
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['2020-07-29 09', '51', '21,663', 'INFO', "LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,"]
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['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,']
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['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '21,663', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '21,664', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '21,664', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '21,664', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '21,664', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '21,664', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '21,704', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '21,705', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '21,707', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '21,707', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '21,708', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '21,711', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '21,714', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '21,719', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '22,073', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '22,082', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '22,082', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '22,110', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '22,114', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '22,485', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '22,494', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '22,495', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '22,521', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '22,526', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '22,854', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '22,863', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '22,863', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '22,886', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '22,892', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '23,201', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '23,209', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '23,209', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '23,234', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '23,239', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '23,566', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '23,577', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '23,578', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '23,604', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '23,609', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '24,001', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '24,010', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '24,011', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '24,039', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '24,045', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '24,458', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '24,469', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '24,470', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '24,497', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '24,502', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '24,843', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '24,854', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '24,855', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '24,878', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '24,883', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '25,229', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '25,237', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '25,238', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '25,260', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '25,264', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '25,610', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '25,619', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '25,620', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '25,649', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '25,654', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '25,676', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '26,031', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '26,558', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '26,558', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '26,560', 'INFO', "save_model(model=LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,"]
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['random_state=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '26,561', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '26,610', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '26,641', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
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["('dfs', Empty()), ('pca', Empty())],"]
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['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '26,641', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '26,641', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '26,727', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '26,728', 'INFO', 'Uploading model into container']
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['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '26,729', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '26,730', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '26,730', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '26,730', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '26,730', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '26,730', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '26,757', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '26,758', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '26,761', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '26,761', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '26,762', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '26,765', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '26,767', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '26,772', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '27,137', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '27,145', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '27,146', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '27,180', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '27,185', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '27,525', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '27,537', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '27,537', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '27,568', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '27,574', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '27,918', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '27,927', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '27,927', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '27,957', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '27,964', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '28,283', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '28,292', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '28,292', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '28,317', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '28,323', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '28,657', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '28,666', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '28,667', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '28,694', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '28,698', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '29,025', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '29,033', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '29,033', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '29,060', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '29,064', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '29,407', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '29,418', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '29,418', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '29,447', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '29,454', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '29,799', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '29,810', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '29,810', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '29,839', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '29,845', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '30,163', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '30,170', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '30,171', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '30,197', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '30,202', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '30,523', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '30,533', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '30,533', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '30,559', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '30,562', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '30,580', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '30,932', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '31,478', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '31,479', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '31,481', 'INFO', "save_model(model=LGBMRegressor(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0,"]
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['n_estimators=100, n_jobs=-1, num_leaves=31, objective=None,']
['random_state=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '31,481', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '31,512', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '31,536', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
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["('dfs', Empty()), ('pca', Empty())],"]
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['random_state=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '31,536', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '31,536', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '31,619', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '31,620', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '31,620', 'INFO', 'create_model_container', '9']
['2020-07-29 09', '51', '31,620', 'INFO', 'master_model_container', '9']
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['2020-07-29 09', '51', '31,622', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '31,623', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '31,623', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '31,624', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '31,624', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '31,624', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '31,624', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '31,656', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '31,658', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '31,660', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '31,661', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '31,662', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '31,664', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '31,667', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '31,672', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '32,036', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '32,044', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '32,044', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '32,068', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '32,073', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '32,380', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '32,391', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '32,391', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '32,418', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '32,423', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '32,741', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '32,749', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '32,750', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '32,774', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '32,779', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '33,089', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '33,096', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '33,096', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '33,122', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '33,127', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '33,448', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '33,456', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '33,456', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '33,478', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '33,482', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '33,801', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '33,811', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '33,812', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '33,838', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '33,843', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '33,875', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '34,159', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '34,168', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '34,168', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '34,193', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '34,198', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '34,434', 'INFO', "Saving 'Elbow.png' in current active directory"]
['2020-07-29 09', '51', '34,435', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '34,435', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '34,471', 'INFO', 'SubProcess plot_model() end ==================================']
['2020-07-29 09', '51', '34,472', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '34,472', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '34,473', 'INFO', "save_model(model=KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '34,473', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '34,506', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '34,514', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '34,514', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '34,537', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '34,542', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '34,842', 'INFO', 'Removing stopwords']
['2020-07-29 09', '51', '34,868', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '34,879', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '34,880', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '34,904', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '34,909', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '35,141', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '35,166', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0)]']
['2020-07-29 09', '51', '35,166', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '35,167', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '35,226', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '35,245', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '35,246', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '35,271', 'INFO', "KModes(cat_dissim=<function matching_dissim at 0x000002EFAA246730>, init='Cao',"]
['max_iter=100, n_clusters=4, n_init=1, n_jobs=-1, random_state=123,']
['verbose=0)']
['2020-07-29 09', '51', '35,272', 'INFO', 'create_models() succesfully completed......................................']
['2020-07-29 09', '51', '35,275', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '35,280', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '35,295', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '35,297', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=False, verbose=True)']
['2020-07-29 09', '51', '35,297', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '35,298', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '35,298', 'INFO', 'Copying data']
['2020-07-29 09', '51', '35,299', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '35,300', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '35,373', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '35,375', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '35,378', 'INFO', '(224, 22)']
['2020-07-29 09', '51', '35,378', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '35,468', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '35,470', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '35,470', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '35,470', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '35,494', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '51', '35,494', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '35,494', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '35,496', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '51', '35,496', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '35,496', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '35,496', 'INFO', 'Copying data']
['2020-07-29 09', '51', '35,497', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '51', '35,497', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '35,530', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '35,532', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '35,533', 'INFO', '(224, 21)']
['2020-07-29 09', '51', '35,533', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '35,534', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '35,549', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '51', '35,565', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '35,570', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '35,796', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '35,796', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '35,812', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '35,813', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=cluster, feature=Country Name, label=True, save=False, system=True)']
['2020-07-29 09', '51', '35,814', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '35,814', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '35,840', 'INFO', 'plot type', 'cluster']
['2020-07-29 09', '51', '35,841', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '35,841', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '35,842', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '51', '35,842', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '35,843', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '35,843', 'INFO', 'Copying data']
['2020-07-29 09', '51', '35,844', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '51', '35,844', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '35,878', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '35,880', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '35,880', 'INFO', '(224, 21)']
['2020-07-29 09', '51', '35,881', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '35,881', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '35,897', 'INFO', 'Fitting PCA()']
['2020-07-29 09', '51', '35,916', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '35,923', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '36,095', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '36,190', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '36,190', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '36,205', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '36,206', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=tsne, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '36,207', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '36,207', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '36,240', 'INFO', 'plot type', 'tsne']
['2020-07-29 09', '51', '36,240', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '36,240', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '36,242', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=True, verbose=False)']
['2020-07-29 09', '51', '36,242', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '36,243', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '36,243', 'INFO', 'Copying data']
['2020-07-29 09', '51', '36,244', 'INFO', 'Transformation param set to True. Assigned clusters are attached on transformed dataset.']
['2020-07-29 09', '51', '36,244', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '36,287', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '36,289', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '36,289', 'INFO', '(224, 21)']
['2020-07-29 09', '51', '36,290', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '36,290', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '36,294', 'INFO', 'Fitting TSNE()']
['2020-07-29 09', '51', '36,736', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '36,737', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '36,739', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '36,739', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '36,784', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '36,809', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '36,809', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '36,810', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '36,901', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '36,901', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '36,901', 'INFO', 'create_model_container', '10']
['2020-07-29 09', '51', '36,901', 'INFO', 'master_model_container', '10']
['2020-07-29 09', '51', '36,902', 'INFO', 'display_container', '11']
['2020-07-29 09', '51', '36,903', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '36,904', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '36,904', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '36,904', 'INFO', 'create_model(estimator=lightgbm, ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=False, system=True)']
['2020-07-29 09', '51', '36,905', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '36,905', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '36,905', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '36,943', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '36,944', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '36,947', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '36,948', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '36,949', 'INFO', 'Light Gradient Boosting Machine Imported succesfully']
['2020-07-29 09', '51', '36,952', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '36,954', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '36,958', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '37,684', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '37,692', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '37,692', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '37,716', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '37,721', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '38,429', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '38,437', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '38,437', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '38,460', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '51', '38,464', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '39,178', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '39,186', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '39,186', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '39,210', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '51', '39,215', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '39,960', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '39,968', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '39,968', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '39,992', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '51', '39,997', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '40,712', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '40,720', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '40,720', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '40,743', 'INFO', 'Initializing Fold 6']
['2020-07-29 09', '51', '40,748', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '41,445', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '41,454', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '41,454', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '41,478', 'INFO', 'Initializing Fold 7']
['2020-07-29 09', '51', '41,483', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '41,653', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '41,659', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '41,956', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '41,965', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '41,965', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '41,967', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '41,967', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '41,981', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '41,982', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=elbow, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '41,983', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '41,984', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '41,994', 'INFO', 'Initializing Fold 8']
['2020-07-29 09', '51', '41,997', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '42,027', 'INFO', 'plot type', 'elbow']
['2020-07-29 09', '51', '42,028', 'INFO', 'Fitting KElbowVisualizer()']
['2020-07-29 09', '51', '42,381', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '42,393', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '42,394', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '42,420', 'INFO', 'Initializing Fold 9']
['2020-07-29 09', '51', '42,425', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '42,790', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '42,799', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '42,799', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '42,822', 'INFO', 'Initializing Fold 10']
['2020-07-29 09', '51', '42,827', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '43,263', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '43,283', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '43,284', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '43,307', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '51', '43,311', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '51', '43,331', 'INFO', 'Finalizing model']
['2020-07-29 09', '51', '43,369', 'INFO', 'Extracting Bigrams']
['2020-07-29 09', '51', '43,937', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '43,967', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '51', '44,615', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '44,615', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '44,617', 'INFO', "save_model(model=LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), model_name=Trained Model, verbose=False)']
['2020-07-29 09', '51', '44,618', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '44,634', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '44,635', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '44,650', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '44,652', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=silhouette, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '44,656', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '44,656', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '44,669', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '51', '44,688', 'INFO', 'plot type', 'silhouette']
['2020-07-29 09', '51', '44,689', 'INFO', 'Fitting SilhouetteVisualizer()']
['2020-07-29 09', '51', '44,701', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True, features_todrop=[],']
["ml_usecase='regression',"]
["numerical_features=[], target='charges',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_Catagorical_Levels...']
["('group', Empty()), ('nonliner', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('pt_target', Empty()),"]
["('binn', Empty()), ('rem_outliers', Empty()),"]
["('cluster_all', Empty()), ('dummy', Dummify(target='charges')),"]
["('fix_perfect', Empty()), ('clean_names', Clean_Colum_Names()),"]
["('feature_select', Empty()), ('fix_multi', Empty()),"]
["('dfs', Empty()), ('pca', Empty())],"]
["verbose=False), LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0), None]']
['2020-07-29 09', '51', '44,701', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '44,701', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '44,794', 'INFO', 'Uploading results into container']
['2020-07-29 09', '51', '44,794', 'INFO', 'Uploading model into container']
['2020-07-29 09', '51', '44,795', 'INFO', 'create_model_container', '11']
['2020-07-29 09', '51', '44,795', 'INFO', 'master_model_container', '11']
['2020-07-29 09', '51', '44,795', 'INFO', 'display_container', '12']
['2020-07-29 09', '51', '44,798', 'INFO', "LGBMRegressor(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=123, reg_alpha=0.0, reg_lambda=0.0, silent=True,']
['subsample=1.0, subsample_for_bin=200000, subsample_freq=0)']
['2020-07-29 09', '51', '44,798', 'INFO', 'create_model() succesfully completed......................................']
['2020-07-29 09', '51', '44,800', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '44,906', 'INFO', 'Initializing create_model()']
['2020-07-29 09', '51', '44,908', 'INFO', "create_model(estimator=ExplainableBoostingRegressor(binning='quantile', early_stopping_rounds=50,"]
['early_stopping_tolerance=0, feature_names=None,']
['feature_types=None, inner_bags=0, interactions=0,']
["learning_rate=0.01, mains='all', max_bins=255,"]
['max_leaves=3, max_rounds=5000, min_samples_leaf=2,']
['n_jobs=-2, outer_bags=16, random_state=42,']
['validation_size=0.15), ensemble=False, method=None, fold=10, round=4, cross_validation=True, verbose=True, system=True)']
['2020-07-29 09', '51', '44,909', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '44,909', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '44,909', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '45,006', 'INFO', 'Copying training dataset']
['2020-07-29 09', '51', '45,008', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '45,011', 'INFO', 'Defining folds']
['2020-07-29 09', '51', '45,012', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '51', '45,033', 'INFO', 'Declaring custom model']
['2020-07-29 09', '51', '45,035', 'INFO', 'ExplainableBoostingRegressor Imported succesfully']
['2020-07-29 09', '51', '45,039', 'INFO', 'Checking ensemble method']
['2020-07-29 09', '51', '45,060', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '51', '45,083', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '45,326', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '45,327', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '45,342', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '45,344', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=distance, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '45,344', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '45,345', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '45,377', 'INFO', 'plot type', 'distance']
['2020-07-29 09', '51', '45,487', 'INFO', 'Fitting InterclusterDistance()']
['2020-07-29 09', '51', '45,564', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '46,194', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '46,194', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '46,209', 'INFO', 'Initializing plot_model()']
['2020-07-29 09', '51', '46,212', 'INFO', "plot_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), plot=distribution, feature=None, label=False, save=False, system=True)']
['2020-07-29 09', '51', '46,212', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '46,213', 'INFO', 'Importing libraries']
['2020-07-29 09', '51', '46,239', 'INFO', 'plot type', 'distribution']
['2020-07-29 09', '51', '46,240', 'INFO', 'SubProcess assign_model() called ==================================']
['2020-07-29 09', '51', '46,240', 'INFO', 'Initializing assign_model()']
['2020-07-29 09', '51', '46,242', 'INFO', "assign_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), transformation=False, verbose=False)']
['2020-07-29 09', '51', '46,242', 'INFO', 'Checking exceptions']
['2020-07-29 09', '51', '46,243', 'INFO', 'Preloading libraries']
['2020-07-29 09', '51', '46,243', 'INFO', 'Copying data']
['2020-07-29 09', '51', '46,244', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '51', '46,295', 'INFO', 'Determining Trained Model']
['2020-07-29 09', '51', '46,297', 'INFO', 'Trained Model', 'K-Means Clustering']
['2020-07-29 09', '51', '46,297', 'INFO', '(224, 22)']
['2020-07-29 09', '51', '46,297', 'INFO', 'assign_model() succesfully completed......................................']
['2020-07-29 09', '51', '46,298', 'INFO', 'SubProcess assign_model() end ==================================']
['2020-07-29 09', '51', '46,298', 'INFO', 'Sorting dataframe']
['2020-07-29 09', '51', '46,312', 'INFO', 'Rendering Visual']
['2020-07-29 09', '51', '46,914', 'INFO', 'Visual Rendered Successfully']
['2020-07-29 09', '51', '46,914', 'INFO', 'plot_model() succesfully completed......................................']
['2020-07-29 09', '51', '47,206', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '47,208', 'INFO', "save_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), model_name=kmeans, verbose=True)']
['2020-07-29 09', '51', '47,209', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '47,243', 'INFO', 'kmeans.pkl saved in current working directory']
['2020-07-29 09', '51', '47,273', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)]']
['2020-07-29 09', '51', '47,275', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '47,520', 'INFO', 'Initializing deploy_model()']
['2020-07-29 09', '51', '47,522', 'INFO', "deploy_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
["random_state=123, tol=0.0001, verbose=0), model_name=kmeans-aws, authentication={'bucket'", "'pycaret-test'}, platform=aws)"]
['2020-07-29 09', '51', '47,522', 'INFO', 'Platform', 'AWS S3']
['2020-07-29 09', '51', '49,570', 'INFO', 'Saving model in current working directory']
['2020-07-29 09', '51', '49,571', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '51', '49,571', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '51', '49,573', 'INFO', "save_model(model=KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0), model_name=kmeans-aws, verbose=False)']
['2020-07-29 09', '51', '49,574', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '51', '49,638', 'INFO', 'kmeans-aws.pkl saved in current working directory']
['2020-07-29 09', '51', '49,661', 'INFO', '[Pipeline(memory=None,']
["steps=[('dtypes',"]
['DataTypes_Auto_infer(categorical_features=[],']
['display_types=True,']
["features_todrop=['Country Name'],"]
["ml_usecase='regression',"]
['numerical_features=[],']
["target='dummy_target',"]
['time_features=[])),']
["('imputer',"]
["Simple_Imputer(categorical_strategy='not_available',"]
["numeric_strategy='mean',"]
['target_variable=None)),']
["('new_levels1',"]
['New_...']
["target='dummy_target')),"]
["('feature_time',"]
['Make_Time_Features(list_of_features=None, time_feature=[])),']
["('group', Empty()), ('scaling', Empty()),"]
["('P_transform', Empty()), ('binn', Empty()),"]
["('fix_perfect', Empty()), ('rem_outliers', Empty()),"]
["('dummy', Dummify(target='dummy_target')),"]
["('clean_names', Clean_Colum_Names()), ('fix_multi', Empty()),"]
["('pca', Empty())],"]
["verbose=False), KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)]']
['2020-07-29 09', '51', '49,661', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '51', '49,661', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '51', '49,661', 'INFO', 'Initializing S3 client']
['2020-07-29 09', '51', '51,288', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '51', '51,296', 'INFO', 'No inverse transformation']
['2020-07-29 09', '51', '51,296', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '51', '51,340', 'INFO', "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,"]
["n_clusters=4, n_init=10, n_jobs=-1, precompute_distances='deprecated',"]
['random_state=123, tol=0.0001, verbose=0)']
['2020-07-29 09', '51', '51,340', 'INFO', 'deploy_model() succesfully completed......................................']
['2020-07-29 09', '51', '51,362', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '51', '51,363', 'INFO', 'get_config(variable=X)']
['2020-07-29 09', '51', '51,363', 'INFO', 'Global variable', 'X returned']
['2020-07-29 09', '51', '51,364', 'INFO', 'get_config() succesfully completed......................................']
['2020-07-29 09', '51', '51,382', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '51', '51,410', 'INFO', 'Fitting Model']
['2020-07-29 09', '51', '51,471', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '51', '51,472', 'INFO', 'get_config(variable=seed)']
['2020-07-29 09', '51', '51,472', 'INFO', 'Global variable', 'seed returned']
['2020-07-29 09', '51', '51,472', 'INFO', 'get_config() succesfully completed......................................']
['2020-07-29 09', '51', '51,496', 'INFO', 'Initializing set_config()']
['2020-07-29 09', '51', '51,496', 'INFO', 'set_config(variable=seed, value=999)']
['2020-07-29 09', '51', '51,497', 'INFO', 'Global variable', 'seed updated']
['2020-07-29 09', '51', '51,497', 'INFO', 'set_config() succesfully completed......................................']
['2020-07-29 09', '51', '51,566', 'INFO', 'Initializing get_config()']
['2020-07-29 09', '51', '51,567', 'INFO', 'get_config(variable=seed)']
['2020-07-29 09', '51', '51,567', 'INFO', 'Global variable', 'seed returned']
['2020-07-29 09', '51', '51,567', 'INFO', 'get_config() succesfully completed......................................']

	Country Name	1995	1996	1997	1998	1999	2000	2001	2002	2003	...	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014
0	Arab World	2.004868	2.014602	2.071309	2.177712	2.331000	2.333596	2.588751	2.540238	2.450415	...	2.134281	2.133038	2.166872	2.101233	2.830067	2.489631	2.539570	2.711262	2.895427	3.073161
1	Caribbean small states	2.801518	2.856684	2.997157	2.989451	2.767858	2.826752	2.679969	2.888693	2.740593	...	2.629580	2.650900	2.790665	2.822913	3.408651	3.264064	3.087653	3.314303	3.318432	3.260012
2	Central Europe and the Baltics	4.678528	4.753209	4.604574	4.499988	4.679082	4.539711	4.666272	4.900196	5.100249	...	4.970861	4.841450	4.809057	5.054785	5.394921	5.284380	5.096212	5.041317	5.029266	5.017717
3	Early-demographic dividend	2.203164	2.156632	2.227311	2.364100	2.454394	2.450555	2.527081	2.347702	2.363263	...	2.337347	2.369884	2.385251	2.405126	2.701260	2.507131	2.495491	2.497340	2.586701	2.665603
4	East Asia & Pacific	4.429090	4.203152	4.244351	4.453984	4.626920	4.688849	4.684790	4.613537	4.635098	...	4.566215	4.367146	4.297394	4.434848	4.865241	4.775817	4.871727	4.866869	4.643221	4.571448

	Name	Reference
ID
kmeans	K-Means Clustering	sklearn.cluster.KMeans
ap	Affinity Propagation	sklearn.cluster.AffinityPropagation
meanshift	Mean shift Clustering	sklearn.cluster.MeanShift
sc	Spectral Clustering	sklearn.cluster.SpectralClustering
hclust	Agglomerative Clustering	sklearn.cluster.AgglomerativeClustering
dbscan	Density-Based Spatial Clustering	sklearn.cluster.DBSCAN
optics	OPTICS Clustering	sklearn.cluster.OPTICS
birch	Birch Clustering	sklearn.cluster.Birch
kmodes	K-Modes Clustering	git/nicodv/kmodes

	Metric
Silhouette	0.4335
Calinski-Harabasz	322.9575
Davies-Bouldin	0.7471

	Metric
Silhouette	-0.3632
Calinski-Harabasz	1.2468
Davies-Bouldin	1.2297

	Country Name	1995	1996	1997	1998	1999	2000	2001	2002	2003	...	2006	2007	2008	2009	2010	2011	2012	2013	2014	Cluster
0	Arab World	2.004868	2.014602	2.071309	2.177712	2.331000	2.333596	2.588751	2.540238	2.450415	...	2.133038	2.166872	2.101233	2.830067	2.489631	2.539570	2.711262	2.895427	3.073161	Cluster 2
1	Caribbean small states	2.801518	2.856684	2.997157	2.989451	2.767858	2.826752	2.679969	2.888693	2.740593	...	2.650900	2.790665	2.822913	3.408651	3.264064	3.087653	3.314303	3.318432	3.260012	Cluster 2
2	Central Europe and the Baltics	4.678528	4.753209	4.604574	4.499988	4.679082	4.539711	4.666272	4.900196	5.100249	...	4.841450	4.809057	5.054785	5.394921	5.284380	5.096212	5.041317	5.029266	5.017717	Cluster 0
3	Early-demographic dividend	2.203164	2.156632	2.227311	2.364100	2.454394	2.450555	2.527081	2.347702	2.363263	...	2.369884	2.385251	2.405126	2.701260	2.507131	2.495491	2.497340	2.586701	2.665603	Cluster 2
4	East Asia & Pacific	4.429090	4.203152	4.244351	4.453984	4.626920	4.688849	4.684790	4.613537	4.635098	...	4.367146	4.297394	4.434848	4.865241	4.775817	4.871727	4.866869	4.643221	4.571448	Cluster 0

PyCaret 2 Clustering Example¶

1. Loading Dataset¶

2. Initialize Setup¶

3. Create Model¶

4. Assign Labels¶

5. Analyze Model¶

6. Predict Model¶

7. Save / Load Model¶

8. Deploy Model¶

9. Get Config / Set Config¶

10. Get System Logs¶

11. MLFlow UI¶

End¶

	Description	Value
0	session_id	123
1	Original Data	(224, 21)
2	Missing Values	False
3	Numeric Features	20
4	Categorical Features	1
5	Ordinal Features	False
6	High Cardinality Features	False
7	Transformed Data	(224, 20)
8	Numeric Imputer	mean
9	Categorical Imputer	constant
10	Normalize	False
11	Normalize Method	None
12	Transformation	False
13	Transformation Method	None
14	PCA	False
15	PCA Method	None
16	PCA components	None
17	Ignore Low Variance	False
18	Combine Rare Levels	False
19	Rare Level Threshold	None
20	Numeric Binning	False
21	Remove Multicollinearity	False
22	Multicollinearity Threshold	None
23	Group Features	False