['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()']
['2020-07-29 09', '47', '14,652', 'INFO', 'USI', 'e640']
['2020-07-29 09', '47', '14,652', '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', '47', '14,653', 'INFO', 'Checking environment']
['2020-07-29 09', '47', '14,653', 'INFO', 'python_version', '3.6.10']
['2020-07-29 09', '47', '14,653', 'INFO', 'python_build', "('default', 'May 7 2020 19", '46', "08')"]
['2020-07-29 09', '47', '14,653', 'INFO', 'machine', 'AMD64']
['2020-07-29 09', '47', '14,653', 'INFO', 'platform', 'Windows-10-10.0.18362-SP0']
['2020-07-29 09', '47', '14,674', 'INFO', 'Memory', 'svmem(total=17032478720, available=5530103808, percent=67.5, used=11502374912, free=5530103808)']
['2020-07-29 09', '47', '14,674', 'INFO', 'Physical Core', '4']
['2020-07-29 09', '47', '14,674', 'INFO', 'Logical Core', '8']
['2020-07-29 09', '47', '14,674', 'INFO', 'Checking libraries']
['2020-07-29 09', '47', '14,674', 'INFO', 'pd==1.0.4']
['2020-07-29 09', '47', '14,674', 'INFO', 'numpy==1.18.5']
['2020-07-29 09', '47', '15,120', 'INFO', 'sklearn==0.23.1']
['2020-07-29 09', '47', '15,204', 'INFO', 'xgboost==1.1.1']
['2020-07-29 09', '47', '15,259', 'INFO', 'lightgbm==2.3.1']
['2020-07-29 09', '47', '15,310', 'INFO', 'catboost==0.23.2']
['2020-07-29 09', '47', '15,876', 'INFO', 'mlflow==1.8.0']
['2020-07-29 09', '47', '15,877', 'INFO', 'Checking Exceptions']
['2020-07-29 09', '47', '15,877', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '15,877', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '15,900', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '18,284', 'INFO', 'Copying data for preprocessing']
['2020-07-29 09', '47', '18,285', 'INFO', 'Declaring global variables']
['2020-07-29 09', '47', '18,296', 'INFO', 'Declaring preprocessing parameters']
['2020-07-29 09', '47', '18,296', 'INFO', 'Importing preprocessing module']
['2020-07-29 09', '47', '19,149', 'INFO', 'Creating preprocessing pipeline']
['2020-07-29 09', '47', '20,310', 'INFO', 'Preprocessing pipeline created successfully']
['2020-07-29 09', '47', '20,310', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '20,310', 'INFO', 'Creating grid variables']
['2020-07-29 09', '47', '20,311', 'INFO', 'Creating global containers']
['2020-07-29 09', '47', '20,410', 'INFO', 'Logging experiment in MLFlow']
['2020-07-29 09', '47', '20,692', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '20,693', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '20,702', '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', '47', '20,702', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '20,710', 'INFO', 'Transformation Pipeline.pkl saved in current working directory']
['2020-07-29 09', '47', '20,721', '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', '47', '20,721', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '20,722', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '20,809', 'INFO', 'create_model_container', '0']
['2020-07-29 09', '47', '20,809', 'INFO', 'master_model_container', '0']
['2020-07-29 09', '47', '20,809', 'INFO', 'display_container', '0']
['2020-07-29 09', '47', '20,809', 'INFO', 'setup() succesfully completed......................................']
['2020-07-29 09', '47', '32,141', 'INFO', 'Initializing compare_models()']
['2020-07-29 09', '47', '32,141', 'INFO', 'compare_models(blacklist=None, whitelist=None, fold=5, round=4, sort=R2, n_select=1, turbo=True, verbose=True)']
['2020-07-29 09', '47', '32,141', 'INFO', 'Checking exceptions']
['2020-07-29 09', '47', '32,141', 'INFO', 'Preloading libraries']
['2020-07-29 09', '47', '32,141', 'INFO', 'Preparing display monitor']
['2020-07-29 09', '47', '32,174', 'INFO', 'Copying training dataset']
['2020-07-29 09', '47', '32,176', 'INFO', 'Importing libraries']
['2020-07-29 09', '47', '32,186', 'INFO', 'Importing untrained models']
['2020-07-29 09', '47', '32,187', 'INFO', 'Import successful']
['2020-07-29 09', '47', '32,191', 'INFO', 'Defining folds']
['2020-07-29 09', '47', '32,192', 'INFO', 'Declaring metric variables']
['2020-07-29 09', '47', '32,192', 'INFO', 'Initializing Linear Regression']
['2020-07-29 09', '47', '32,198', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '32,206', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,210', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,212', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,212', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,229', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '32,235', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,239', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,240', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,241', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,248', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '32,254', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,257', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,259', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,260', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,266', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '32,271', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,275', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,276', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,277', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,282', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '32,288', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,291', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,293', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,293', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,302', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '32,302', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '32,313', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '32,365', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '32,366', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '32,366', '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', '47', '32,366', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '32,371', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '32,376', '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', '47', '32,376', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '32,376', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '32,731', 'INFO', 'Initializing Lasso Regression']
['2020-07-29 09', '47', '32,736', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '32,742', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,747', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,749', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,749', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,756', 'INFO', 'Initializing Fold 2']
['2020-07-29 09', '47', '32,762', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,766', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,768', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,768', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,775', 'INFO', 'Initializing Fold 3']
['2020-07-29 09', '47', '32,781', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,786', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,788', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,788', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,795', 'INFO', 'Initializing Fold 4']
['2020-07-29 09', '47', '32,801', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,804', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,805', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,805', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,812', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '32,818', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,820', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,822', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,822', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,829', 'INFO', 'Calculating mean and std']
['2020-07-29 09', '47', '32,829', 'INFO', 'Creating metrics dataframe']
['2020-07-29 09', '47', '32,841', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '32,901', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '32,901', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '32,901', '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', '47', '32,901', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '32,907', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '32,912', '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), 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', '47', '32,912', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '32,912', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '32,961', 'INFO', 'Initializing Ridge Regression']
['2020-07-29 09', '47', '32,967', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '32,972', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '32,974', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '32,976', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '32,976', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '32,983', 'INFO', 'Initializing Fold 2']
['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']
['2020-07-29 09', '47', '32,993', 'INFO', 'Compiling Metrics']
['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']
['2020-07-29 09', '47', '33,010', 'INFO', 'Compiling Metrics']
['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']
['2020-07-29 09', '47', '33,027', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,035', 'INFO', 'Initializing Fold 5']
['2020-07-29 09', '47', '33,041', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,043', 'INFO', 'Evaluating Metrics']
['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']
['2020-07-29 09', '47', '33,062', 'INFO', 'Creating MLFlow logs']
['2020-07-29 09', '47', '33,129', 'INFO', 'SubProcess save_model() called ==================================']
['2020-07-29 09', '47', '33,129', 'INFO', 'Initializing save_model()']
['2020-07-29 09', '47', '33,129', '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', '47', '33,129', 'INFO', 'Appending prep pipeline']
['2020-07-29 09', '47', '33,134', 'INFO', 'Trained Model.pkl saved in current working directory']
['2020-07-29 09', '47', '33,139', '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', '47', '33,139', 'INFO', 'save_model() succesfully completed......................................']
['2020-07-29 09', '47', '33,139', 'INFO', 'SubProcess save_model() end ==================================']
['2020-07-29 09', '47', '33,188', 'INFO', 'Initializing Elastic Net']
['2020-07-29 09', '47', '33,194', 'INFO', 'Initializing Fold 1']
['2020-07-29 09', '47', '33,200', 'INFO', 'Fitting Model']
['2020-07-29 09', '47', '33,203', 'INFO', 'Evaluating Metrics']
['2020-07-29 09', '47', '33,205', 'INFO', 'No inverse transformer found']
['2020-07-29 09', '47', '33,205', 'INFO', 'Compiling Metrics']
['2020-07-29 09', '47', '33,212', 'INFO', 'Initializing Fold 2']
['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']
['2020-07-29 09', '47', '33,243', 'INFO', 'Compiling Metrics']
['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']