diff --git "a/logs.log" "b/logs.log" --- "a/logs.log" +++ "b/logs.log" @@ -60922,3 +60922,3648 @@ dummy 12033.9934 -0.0084 0.9970 1.5104 0.035 2022-06-21 19:38:45,272:INFO:plot_model() successfully completed...................................... 2022-06-21 19:38:45,274:INFO:error 2022-06-21 21:14:09,065:INFO: Stopping... +2022-06-21 21:14:51,065:WARNING: +No module named 'cuml'. +'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install. +2022-06-21 21:14:51,066:WARNING: +No module named 'cuml'. +'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install. +2022-06-21 21:14:51,066:WARNING: +No module named 'cuml'. +'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install. +2022-06-21 21:14:51,067:WARNING: +No module named 'cuml'. +'cuml' is a soft dependency and not included in the pycaret installation. Please run: `pip install cuml` to install. +2022-06-21 21:14:56,133:INFO:PyCaret ClassificationExperiment +2022-06-21 21:14:56,133:INFO:Logging name: clf-default-name +2022-06-21 21:14:56,134:INFO:ML Usecase: MLUsecase.CLASSIFICATION +2022-06-21 21:14:56,134:INFO:version 3.0.0.rc1 +2022-06-21 21:14:56,135:INFO:Initializing setup() +2022-06-21 21:14:56,135:INFO:self.USI: b0a7 +2022-06-21 21:14:56,135:INFO:self.variable_keys: {'X_train', 'gpu_param', 'USI', '_available_plots', '_is_multiclass', 'fold_groups_param', 'X', '_all_metrics', 'y', 'display_container', 'X_test', 'pipeline', 'exp_name_log', 'exp_id', 'data', '_all_models', 'seed', 'logging_param', '_ml_usecase', 'n_jobs_param', 'idx', 'memory', 'target_param', 'y_train', 'y_test', 'fold_shuffle_param', 'master_model_container', 'fold_generator', 'fix_imbalance', '_all_models_internal', '_gpu_n_jobs_param', 'html_param', 'log_plots_param', 'variable_keys'} +2022-06-21 21:14:56,136:INFO:Checking environment +2022-06-21 21:14:56,136:INFO:python_version: 3.9.7 +2022-06-21 21:14:56,136:INFO:python_build: ('default', 'Sep 16 2021 13:09:58') +2022-06-21 21:14:56,136:INFO:machine: x86_64 +2022-06-21 21:14:56,167:INFO:platform: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:14:56,168:INFO:Memory: svmem(total=8230690816, available=1744183296, percent=78.8, used=4956139520, free=307666944, active=3171938304, inactive=3589865472, buffers=124362752, cached=2842521600, shared=1215250432, slab=374366208) +2022-06-21 21:14:56,170:INFO:Physical Core: 2 +2022-06-21 21:14:56,170:INFO:Logical Core: 4 +2022-06-21 21:14:56,171:INFO:Checking libraries +2022-06-21 21:14:56,171:INFO: +System: +2022-06-21 21:14:56,172:INFO: python: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0] +2022-06-21 21:14:56,172:INFO:executable: /home/tonne/development/anaconda3/bin/python +2022-06-21 21:14:56,173:INFO: machine: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:14:56,173:INFO: +PyCaret required dependencies: +2022-06-21 21:14:57,153:INFO: pip: 22.1.2 +2022-06-21 21:14:57,153:INFO: setuptools: 58.0.4 +2022-06-21 21:14:57,154:INFO: pycaret: 3.0.0.rc1 +2022-06-21 21:14:57,154:INFO: ipython: Not installed +2022-06-21 21:14:57,154:INFO: ipywidgets: 7.6.5 +2022-06-21 21:14:57,155:INFO: tqdm: 4.62.3 +2022-06-21 21:14:57,155:INFO: numpy: 1.21.5 +2022-06-21 21:14:57,155:INFO: pandas: 1.3.5 +2022-06-21 21:14:57,155:INFO: jinja2: 3.0.3 +2022-06-21 21:14:57,155:INFO: scipy: 1.7.1 +2022-06-21 21:14:57,156:INFO: joblib: 1.1.0 +2022-06-21 21:14:57,156:INFO: sklearn: 1.1.1 +2022-06-21 21:14:57,156:INFO: pyod: Installed but version unavailable +2022-06-21 21:14:57,156:INFO: imblearn: 0.9.1 +2022-06-21 21:14:57,156:INFO: category_encoders: 2.5.0 +2022-06-21 21:14:57,157:INFO: lightgbm: 3.2.1 +2022-06-21 21:14:57,157:INFO: numba: 0.55.2 +2022-06-21 21:14:57,157:INFO: requests: 2.27.1 +2022-06-21 21:14:57,157:INFO: matplotlib: 3.4.3 +2022-06-21 21:14:57,157:INFO: scikitplot: 0.3.7 +2022-06-21 21:14:57,158:INFO: yellowbrick: 1.4 +2022-06-21 21:14:57,158:INFO: plotly: 5.5.0 +2022-06-21 21:14:57,158:INFO: kaleido: 0.2.1 +2022-06-21 21:14:57,158:INFO: statsmodels: 0.12.2 +2022-06-21 21:14:57,158:INFO: sktime: 0.11.4 +2022-06-21 21:14:57,158:INFO: tbats: Installed but version unavailable +2022-06-21 21:14:57,159:INFO: pmdarima: 1.8.5 +2022-06-21 21:14:57,159:INFO: psutil: 5.9.0 +2022-06-21 21:14:57,159:INFO: +PyCaret optional dependencies: +2022-06-21 21:14:58,239:INFO:PyCaret ClassificationExperiment +2022-06-21 21:14:58,239:INFO:Logging name: clf-default-name +2022-06-21 21:14:58,241:INFO:ML Usecase: MLUsecase.CLASSIFICATION +2022-06-21 21:14:58,242:INFO:version 3.0.0.rc1 +2022-06-21 21:14:58,246:INFO:Initializing setup() +2022-06-21 21:14:58,256:INFO:self.USI: 6867 +2022-06-21 21:14:58,257:INFO:self.variable_keys: {'X_train', 'gpu_param', 'USI', '_available_plots', '_is_multiclass', 'fold_groups_param', 'X', '_all_metrics', 'y', 'display_container', 'X_test', 'pipeline', 'exp_name_log', 'exp_id', 'data', '_all_models', 'seed', 'logging_param', '_ml_usecase', 'n_jobs_param', 'idx', 'memory', 'target_param', 'y_train', 'y_test', 'fold_shuffle_param', 'master_model_container', 'fold_generator', 'fix_imbalance', '_all_models_internal', '_gpu_n_jobs_param', 'html_param', 'log_plots_param', 'variable_keys'} +2022-06-21 21:14:58,258:INFO:Checking environment +2022-06-21 21:14:58,258:INFO:python_version: 3.9.7 +2022-06-21 21:14:58,259:INFO:python_build: ('default', 'Sep 16 2021 13:09:58') +2022-06-21 21:14:58,262:INFO:machine: x86_64 +2022-06-21 21:14:58,268:INFO:platform: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:14:58,269:INFO:Memory: svmem(total=8230690816, available=1703698432, percent=79.3, used=5020897280, free=188022784, active=3191898112, inactive=3733516288, buffers=126242816, cached=2895527936, shared=1194659840, slab=374611968) +2022-06-21 21:14:58,270:INFO:Physical Core: 2 +2022-06-21 21:14:58,272:INFO:Logical Core: 4 +2022-06-21 21:14:58,280:INFO:Checking libraries +2022-06-21 21:14:58,283:INFO: +System: +2022-06-21 21:14:58,285:INFO: python: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0] +2022-06-21 21:14:58,293:INFO:executable: /home/tonne/development/anaconda3/bin/python +2022-06-21 21:14:58,295:INFO: machine: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:14:58,295:INFO: +PyCaret required dependencies: +2022-06-21 21:14:58,297:INFO: pip: 22.1.2 +2022-06-21 21:14:58,298:INFO: setuptools: 58.0.4 +2022-06-21 21:14:58,299:INFO: pycaret: 3.0.0.rc1 +2022-06-21 21:14:58,299:INFO: ipython: Not installed +2022-06-21 21:14:58,300:INFO: ipywidgets: 7.6.5 +2022-06-21 21:14:58,303:INFO: tqdm: 4.62.3 +2022-06-21 21:14:58,305:INFO: numpy: 1.21.5 +2022-06-21 21:14:58,306:INFO: pandas: 1.3.5 +2022-06-21 21:14:58,307:INFO: jinja2: 3.0.3 +2022-06-21 21:14:58,308:INFO: scipy: 1.7.1 +2022-06-21 21:14:58,314:INFO: joblib: 1.1.0 +2022-06-21 21:14:58,316:INFO: sklearn: 1.1.1 +2022-06-21 21:14:58,327:INFO: pyod: Installed but version unavailable +2022-06-21 21:14:58,327:INFO: imblearn: 0.9.1 +2022-06-21 21:14:58,327:INFO: category_encoders: 2.5.0 +2022-06-21 21:14:58,328:INFO: lightgbm: 3.2.1 +2022-06-21 21:14:58,328:INFO: numba: 0.55.2 +2022-06-21 21:14:58,328:INFO: requests: 2.27.1 +2022-06-21 21:14:58,331:INFO: matplotlib: 3.4.3 +2022-06-21 21:14:58,332:INFO: scikitplot: 0.3.7 +2022-06-21 21:14:58,334:INFO: yellowbrick: 1.4 +2022-06-21 21:14:58,336:INFO: plotly: 5.5.0 +2022-06-21 21:14:58,338:INFO: kaleido: 0.2.1 +2022-06-21 21:14:58,339:INFO: statsmodels: 0.12.2 +2022-06-21 21:14:58,347:INFO: sktime: 0.11.4 +2022-06-21 21:14:58,351:INFO: tbats: Installed but version unavailable +2022-06-21 21:14:58,352:INFO: pmdarima: 1.8.5 +2022-06-21 21:14:58,352:INFO: psutil: 5.9.0 +2022-06-21 21:14:58,353:INFO: +PyCaret optional dependencies: +2022-06-21 21:15:00,910:WARNING: +The dash_html_components package is deprecated. Please replace +`import dash_html_components as html` with `from dash import html` + +2022-06-21 21:15:00,913:WARNING: +The dash_core_components package is deprecated. Please replace +`import dash_core_components as dcc` with `from dash import dcc` + +2022-06-21 21:15:02,201:INFO:Alert! from version 0.1.39, fter importing, you must do '%matplotlib inline' to display charts in Jupyter Notebooks. + AV = AutoViz_Class() + dfte = AV.AutoViz(filename, sep=',', depVar='', dfte=None, header=0, verbose=0, lowess=False, + chart_format='svg',max_rows_analyzed=150000,max_cols_analyzed=30, save_plot_dir=None) +2022-06-21 21:15:02,201:INFO:Note: verbose=0 or 1 generates charts and displays them in your local Jupyter notebook. +2022-06-21 21:15:02,212:INFO: verbose=2 does not display plots but saves them in AutoViz_Plots folder in local machine. +2022-06-21 21:15:02,234:INFO:Updated: chart_format='bokeh' generates and displays charts in your local Jupyter notebook. +2022-06-21 21:15:02,236:INFO: chart_format='server' generates and displays charts in the browser - one tab for each chart. +2022-06-21 21:15:02,237:INFO: chart_format='html' silently saves charts HTML format - they are also interactive! +2022-06-21 21:15:05,458:INFO: shap: 0.39.0 +2022-06-21 21:15:05,459:INFO: interpret: 0.2.7 +2022-06-21 21:15:05,459:INFO: umap: 0.5.3 +2022-06-21 21:15:05,459:INFO: pandas_profiling: 3.2.0 +2022-06-21 21:15:05,460:INFO: explainerdashboard: Installed but version unavailable +2022-06-21 21:15:05,460:INFO: autoviz: 0.1.39 +2022-06-21 21:15:05,460:INFO: fairlearn: 0.7.0 +2022-06-21 21:15:05,460:INFO: xgboost: 1.4.0 +2022-06-21 21:15:05,461:INFO: catboost: 1.0.6 +2022-06-21 21:15:05,461:INFO: kmodes: 0.12.1 +2022-06-21 21:15:05,461:INFO: mlxtend: 0.20.0 +2022-06-21 21:15:05,461:INFO: statsforecast: 0.5.5 +2022-06-21 21:15:05,462:INFO: tune_sklearn: 0.4.3 +2022-06-21 21:15:05,462:INFO: ray: 1.12.1 +2022-06-21 21:15:05,462:INFO: hyperopt: 0.2.7 +2022-06-21 21:15:05,462:INFO: optuna: 2.10.0 +2022-06-21 21:15:05,463:INFO: skopt: 0.9.0 +2022-06-21 21:15:05,463:INFO: mlflow: 1.26.1 +2022-06-21 21:15:05,463:INFO: gradio: Installed but version unavailable +2022-06-21 21:15:05,463:INFO: fastapi: 0.75.2 +2022-06-21 21:15:05,463:INFO: uvicorn: 0.17.6 +2022-06-21 21:15:05,464:INFO: m2cgen: 0.10.0 +2022-06-21 21:15:05,464:INFO: evidently: 0.1.51.dev0 +2022-06-21 21:15:05,464:INFO: nltk: 3.6.5 +2022-06-21 21:15:05,465:INFO: pyLDAvis: Not installed +2022-06-21 21:15:05,465:INFO: gensim: Not installed +2022-06-21 21:15:05,465:INFO: spacy: Not installed +2022-06-21 21:15:05,465:INFO: wordcloud: 1.8.1 +2022-06-21 21:15:05,465:INFO: textblob: 0.17.1 +2022-06-21 21:15:05,465:INFO: fugue: 0.6.6 +2022-06-21 21:15:05,465:INFO: streamlit: 1.10.0 +2022-06-21 21:15:05,465:INFO: prophet: Not installed +2022-06-21 21:15:05,465:INFO:None +2022-06-21 21:15:05,465:INFO:Set up data. +2022-06-21 21:15:05,478:INFO:Set up train/test split. +2022-06-21 21:15:05,487:INFO:Assigning column types. +2022-06-21 21:15:05,503:INFO:Set up folding strategy. +2022-06-21 21:15:05,504:INFO:Preparing preprocessing pipeline... +2022-06-21 21:15:05,507:INFO:Set up simple imputation. +2022-06-21 21:15:05,560:INFO:Finished creating preprocessing pipeline. +2022-06-21 21:15:05,563:INFO:Pipeline: Pipeline(memory=Memory(location=/tmp/joblib), + steps=[('numerical_imputer', + TransformerWrapper(exclude=None, include=['Number of times pregnant', 'Plasma glucose concentration a 2 hours in an oral glucose tolerance test', 'Diastolic blood pressure (mm Hg)', 'Triceps skin fold thickness (mm)', '2-Hour serum insulin (mu U/ml)', 'Body mass index (weight in kg/(height in m)^2)', 'Diabetes pedigr...nsformer=SimpleImputer(add_indicator=False, copy=True, fill_value=None, missing_values=nan, strategy='mean', verbose='deprecated'))), + ('categorical_imputer', + TransformerWrapper(exclude=None, include=[], transformer=SimpleImputer(add_indicator=False, copy=True, fill_value='constant', missing_values=nan, strategy='constant', verbose='deprecated')))], + verbose=False) +2022-06-21 21:15:05,565:INFO:Creating final display dataframe. +2022-06-21 21:15:05,693:INFO:Setup display_container: Description Value +0 Session id 6169 +1 Target Class variable +2 Target type Binary +3 Original data shape (768, 9) +4 Transformed data shape (768, 9) +5 Transformed train set shape (537, 9) +6 Transformed test set shape (231, 9) +7 Numeric features 8 +8 Preprocess True +9 Imputation type simple +10 Numeric imputation mean +11 Categorical imputation constant +12 Fold Generator StratifiedKFold +13 Fold Number 10 +14 CPU Jobs -1 +15 Use GPU False +16 Log Experiment False +17 Experiment Name clf-default-name +18 USI b0a7 +2022-06-21 21:15:06,019:INFO:setup() successfully completed in 9.89s............... +2022-06-21 21:15:07,361:INFO: shap: 0.39.0 +2022-06-21 21:15:07,361:INFO: interpret: 0.2.7 +2022-06-21 21:15:07,362:INFO: umap: Installed but version unavailable +2022-06-21 21:15:07,362:INFO: pandas_profiling: 3.2.0 +2022-06-21 21:15:07,362:INFO: explainerdashboard: Installed but version unavailable +2022-06-21 21:15:07,363:INFO: autoviz: 0.1.39 +2022-06-21 21:15:07,363:INFO: fairlearn: 0.7.0 +2022-06-21 21:15:07,363:INFO: xgboost: 1.4.0 +2022-06-21 21:15:07,363:INFO: catboost: 1.0.6 +2022-06-21 21:15:07,363:INFO: kmodes: 0.12.1 +2022-06-21 21:15:07,364:INFO: mlxtend: 0.20.0 +2022-06-21 21:15:07,364:INFO: statsforecast: 0.5.5 +2022-06-21 21:15:07,364:INFO: tune_sklearn: 0.4.3 +2022-06-21 21:15:07,364:INFO: ray: 1.12.1 +2022-06-21 21:15:07,365:INFO: hyperopt: 0.2.7 +2022-06-21 21:15:07,365:INFO: optuna: 2.10.0 +2022-06-21 21:15:07,365:INFO: skopt: 0.9.0 +2022-06-21 21:15:07,365:INFO: mlflow: 1.26.1 +2022-06-21 21:15:07,365:INFO: gradio: 3.0.11 +2022-06-21 21:15:07,365:INFO: fastapi: 0.75.2 +2022-06-21 21:15:07,366:INFO: uvicorn: 0.17.6 +2022-06-21 21:15:07,366:INFO: m2cgen: 0.10.0 +2022-06-21 21:15:07,366:INFO: evidently: 0.1.51.dev0 +2022-06-21 21:15:07,367:INFO: nltk: 3.6.5 +2022-06-21 21:15:07,367:INFO: pyLDAvis: Not installed +2022-06-21 21:15:07,367:INFO: gensim: Not installed +2022-06-21 21:15:07,367:INFO: spacy: Not installed +2022-06-21 21:15:07,367:INFO: wordcloud: 1.8.1 +2022-06-21 21:15:07,367:INFO: textblob: 0.17.1 +2022-06-21 21:15:07,367:INFO: fugue: 0.6.6 +2022-06-21 21:15:07,367:INFO: streamlit: 1.10.0 +2022-06-21 21:15:07,367:INFO: prophet: Not installed +2022-06-21 21:15:07,368:INFO:None +2022-06-21 21:15:07,368:INFO:Set up data. +2022-06-21 21:15:07,375:INFO:Set up train/test split. +2022-06-21 21:15:07,387:INFO:Assigning column types. +2022-06-21 21:15:07,401:INFO:Set up folding strategy. +2022-06-21 21:15:07,402:INFO:Preparing preprocessing pipeline... +2022-06-21 21:15:07,403:INFO:Set up simple imputation. +2022-06-21 21:15:07,485:INFO:Finished creating preprocessing pipeline. +2022-06-21 21:15:07,493:INFO:Pipeline: Pipeline(memory=Memory(location=/tmp/joblib), + steps=[('numerical_imputer', + TransformerWrapper(exclude=None, include=['Number of times pregnant', 'Plasma glucose concentration a 2 hours in an oral glucose tolerance test', 'Diastolic blood pressure (mm Hg)', 'Triceps skin fold thickness (mm)', '2-Hour serum insulin (mu U/ml)', 'Body mass index (weight in kg/(height in m)^2)', 'Diabetes pedigr...nsformer=SimpleImputer(add_indicator=False, copy=True, fill_value=None, missing_values=nan, strategy='mean', verbose='deprecated'))), + ('categorical_imputer', + TransformerWrapper(exclude=None, include=[], transformer=SimpleImputer(add_indicator=False, copy=True, fill_value='constant', missing_values=nan, strategy='constant', verbose='deprecated')))], + verbose=False) +2022-06-21 21:15:07,493:INFO:Creating final display dataframe. +2022-06-21 21:15:07,573:INFO:Setup display_container: Description Value +0 Session id 402 +1 Target Class variable +2 Target type Binary +3 Original data shape (768, 9) +4 Transformed data shape (768, 9) +5 Transformed train set shape (537, 9) +6 Transformed test set shape (231, 9) +7 Numeric features 8 +8 Preprocess True +9 Imputation type simple +10 Numeric imputation mean +11 Categorical imputation constant +12 Fold Generator StratifiedKFold +13 Fold Number 10 +14 CPU Jobs -1 +15 Use GPU False +16 Log Experiment False +17 Experiment Name clf-default-name +18 USI 6867 +2022-06-21 21:15:07,580:INFO: Description Value +0 Session id 402 +1 Target Class variable +2 Target type Binary +3 Original data shape (768, 9) +4 Transformed data shape (768, 9) +5 Transformed train set shape (537, 9) +6 Transformed test set shape (231, 9) +7 Numeric features 8 +8 Preprocess True +9 Imputation type simple +10 Numeric imputation mean +11 Categorical imputation constant +12 Fold Generator StratifiedKFold +13 Fold Number 10 +14 CPU Jobs -1 +15 Use GPU False +16 Log Experiment False +17 Experiment Name clf-default-name +18 USI 6867 +2022-06-21 21:15:07,791:INFO:setup() successfully completed in 9.55s............... +2022-06-21 21:15:07,791:INFO:Initializing compare_models() +2022-06-21 21:15:07,792:INFO:compare_models(self=, include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, experiment_custom_tags=None, probability_threshold=None, verbose=True, parallel=None, caller_params={'self': , 'include': None, 'exclude': None, 'fold': None, 'round': 4, 'cross_validation': True, 'sort': 'Accuracy', 'n_select': 1, 'budget_time': None, 'turbo': True, 'errors': 'ignore', 'fit_kwargs': None, 'groups': None, 'experiment_custom_tags': None, 'probability_threshold': None, 'verbose': True, 'parallel': None, '__class__': }, exclude=None) +2022-06-21 21:15:07,792:INFO:Checking exceptions +2022-06-21 21:15:07,796:INFO:Preparing display monitor +2022-06-21 21:15:07,804:INFO:Initializing Logistic Regression +2022-06-21 21:15:07,804:INFO:Total runtime is 8.41220219930013e-06 minutes +2022-06-21 21:15:07,806:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:07,806:INFO:Initializing create_model() +2022-06-21 21:15:07,806:INFO:create_model(self=, estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:07,807:INFO:Checking exceptions +2022-06-21 21:15:07,809:INFO:Importing libraries +2022-06-21 21:15:07,810:INFO:Copying training dataset +2022-06-21 21:15:07,814:INFO:Defining folds +2022-06-21 21:15:07,814:INFO:Declaring metric variables +2022-06-21 21:15:07,816:INFO:Importing untrained model +2022-06-21 21:15:07,817:INFO:Logistic Regression Imported successfully +2022-06-21 21:15:07,818:INFO:Starting cross validation +2022-06-21 21:15:07,819:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:11,085:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,085:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,087:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,092:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,095:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,096:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,100:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,108:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,311:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,319:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,327:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,330:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,336:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,338:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,342:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,351:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,420:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,424:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,439:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,444:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,453:INFO:Calculating mean and std +2022-06-21 21:15:11,454:INFO:Creating metrics dataframe +2022-06-21 21:15:11,460:INFO:Uploading results into container +2022-06-21 21:15:11,461:INFO:Uploading model into container now +2022-06-21 21:15:11,463:INFO:master_model_container: 1 +2022-06-21 21:15:11,463:INFO:display_container: 2 +2022-06-21 21:15:11,464:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=402, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:11,464:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:11,754:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:11,754:INFO:Creating metrics dataframe +2022-06-21 21:15:11,761:INFO:Initializing K Neighbors Classifier +2022-06-21 21:15:11,762:INFO:Total runtime is 0.0659623106320699 minutes +2022-06-21 21:15:11,762:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:11,763:INFO:Initializing create_model() +2022-06-21 21:15:11,763:INFO:create_model(self=, estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:11,763:INFO:Checking exceptions +2022-06-21 21:15:11,767:INFO:Importing libraries +2022-06-21 21:15:11,767:INFO:Copying training dataset +2022-06-21 21:15:11,772:INFO:Defining folds +2022-06-21 21:15:11,772:INFO:Declaring metric variables +2022-06-21 21:15:11,773:INFO:Importing untrained model +2022-06-21 21:15:11,774:INFO:K Neighbors Classifier Imported successfully +2022-06-21 21:15:11,775:INFO:Starting cross validation +2022-06-21 21:15:11,777:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:11,817:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,817:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,830:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,836:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,851:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,851:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,851:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,859:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,897:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,906:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,910:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,910:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,913:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,921:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,927:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,929:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,954:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,957:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,965:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,969:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:11,991:INFO:Calculating mean and std +2022-06-21 21:15:11,992:INFO:Creating metrics dataframe +2022-06-21 21:15:11,998:INFO:Uploading results into container +2022-06-21 21:15:11,999:INFO:Uploading model into container now +2022-06-21 21:15:12,000:INFO:master_model_container: 2 +2022-06-21 21:15:12,001:INFO:display_container: 2 +2022-06-21 21:15:12,001:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', + metric_params=None, n_jobs=-1, n_neighbors=5, p=2, + weights='uniform') +2022-06-21 21:15:12,002:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:12,228:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:12,228:INFO:Creating metrics dataframe +2022-06-21 21:15:12,236:INFO:Initializing Naive Bayes +2022-06-21 21:15:12,236:INFO:Total runtime is 0.0738702654838562 minutes +2022-06-21 21:15:12,237:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:12,237:INFO:Initializing create_model() +2022-06-21 21:15:12,238:INFO:create_model(self=, estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:12,238:INFO:Checking exceptions +2022-06-21 21:15:12,242:INFO:Importing libraries +2022-06-21 21:15:12,242:INFO:Copying training dataset +2022-06-21 21:15:12,246:INFO:Defining folds +2022-06-21 21:15:12,247:INFO:Declaring metric variables +2022-06-21 21:15:12,247:INFO:Importing untrained model +2022-06-21 21:15:12,248:INFO:Naive Bayes Imported successfully +2022-06-21 21:15:12,250:INFO:Starting cross validation +2022-06-21 21:15:12,252:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:12,289:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,302:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,312:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,313:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,315:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,316:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,329:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,335:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,380:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,383:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,396:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,398:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,398:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,410:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,418:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,442:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,448:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,451:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,459:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,467:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:12,486:INFO:Calculating mean and std +2022-06-21 21:15:12,486:INFO:Creating metrics dataframe +2022-06-21 21:15:12,499:INFO:Uploading results into container +2022-06-21 21:15:12,500:INFO:Uploading model into container now +2022-06-21 21:15:12,500:INFO:master_model_container: 3 +2022-06-21 21:15:12,501:INFO:display_container: 2 +2022-06-21 21:15:12,501:INFO:GaussianNB(priors=None, var_smoothing=1e-09) +2022-06-21 21:15:12,501:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:12,901:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:12,902:INFO:Creating metrics dataframe +2022-06-21 21:15:12,909:INFO:Initializing Decision Tree Classifier +2022-06-21 21:15:12,909:INFO:Total runtime is 0.0850883920987447 minutes +2022-06-21 21:15:12,910:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:12,912:INFO:Initializing create_model() +2022-06-21 21:15:12,913:INFO:create_model(self=, estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:12,914:INFO:Checking exceptions +2022-06-21 21:15:12,921:INFO:Importing libraries +2022-06-21 21:15:12,922:INFO:Copying training dataset +2022-06-21 21:15:12,926:INFO:Defining folds +2022-06-21 21:15:12,927:INFO:Declaring metric variables +2022-06-21 21:15:12,928:INFO:Importing untrained model +2022-06-21 21:15:12,930:INFO:Decision Tree Classifier Imported successfully +2022-06-21 21:15:12,934:INFO:Starting cross validation +2022-06-21 21:15:12,936:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:12,995:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,009:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,011:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,033:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,037:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,050:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,039:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,073:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,083:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,085:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,102:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,115:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,117:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,128:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,148:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,161:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,168:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,180:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,195:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,225:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,243:INFO:Calculating mean and std +2022-06-21 21:15:13,244:INFO:Creating metrics dataframe +2022-06-21 21:15:13,253:INFO:Uploading results into container +2022-06-21 21:15:13,255:INFO:Uploading model into container now +2022-06-21 21:15:13,256:INFO:master_model_container: 4 +2022-06-21 21:15:13,257:INFO:display_container: 2 +2022-06-21 21:15:13,258:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini', + max_depth=None, max_features=None, max_leaf_nodes=None, + min_impurity_decrease=0.0, min_samples_leaf=1, + min_samples_split=2, min_weight_fraction_leaf=0.0, + random_state=402, splitter='best') +2022-06-21 21:15:13,258:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:13,473:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:13,473:INFO:Creating metrics dataframe +2022-06-21 21:15:13,483:INFO:Initializing SVM - Linear Kernel +2022-06-21 21:15:13,483:INFO:Total runtime is 0.09465384880701701 minutes +2022-06-21 21:15:13,484:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:13,484:INFO:Initializing create_model() +2022-06-21 21:15:13,485:INFO:create_model(self=, estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:13,485:INFO:Checking exceptions +2022-06-21 21:15:13,490:INFO:Importing libraries +2022-06-21 21:15:13,490:INFO:Copying training dataset +2022-06-21 21:15:13,494:INFO:Defining folds +2022-06-21 21:15:13,495:INFO:Declaring metric variables +2022-06-21 21:15:13,496:INFO:Importing untrained model +2022-06-21 21:15:13,499:INFO:SVM - Linear Kernel Imported successfully +2022-06-21 21:15:13,500:INFO:Starting cross validation +2022-06-21 21:15:13,501:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:13,555:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,557:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,564:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,566:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,567:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,567:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,574:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,581:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,605:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,608:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,615:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,616:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,617:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,622:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,627:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,631:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,646:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,649:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,655:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,659:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:13,669:INFO:Calculating mean and std +2022-06-21 21:15:13,671:INFO:Creating metrics dataframe +2022-06-21 21:15:13,683:INFO:Uploading results into container +2022-06-21 21:15:13,685:INFO:Uploading model into container now +2022-06-21 21:15:13,687:INFO:master_model_container: 5 +2022-06-21 21:15:13,688:INFO:display_container: 2 +2022-06-21 21:15:13,692:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None, + early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True, + l1_ratio=0.15, learning_rate='optimal', loss='hinge', + max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2', + power_t=0.5, random_state=402, shuffle=True, tol=0.001, + validation_fraction=0.1, verbose=0, warm_start=False) +2022-06-21 21:15:13,693:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:13,939:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:13,940:INFO:Creating metrics dataframe +2022-06-21 21:15:13,946:INFO:Initializing Ridge Classifier +2022-06-21 21:15:13,947:INFO:Total runtime is 0.10238362948099772 minutes +2022-06-21 21:15:13,948:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:13,948:INFO:Initializing create_model() +2022-06-21 21:15:13,948:INFO:create_model(self=, estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:13,949:INFO:Checking exceptions +2022-06-21 21:15:13,953:INFO:Importing libraries +2022-06-21 21:15:13,953:INFO:Copying training dataset +2022-06-21 21:15:13,957:INFO:Defining folds +2022-06-21 21:15:13,957:INFO:Declaring metric variables +2022-06-21 21:15:13,958:INFO:Importing untrained model +2022-06-21 21:15:13,959:INFO:Ridge Classifier Imported successfully +2022-06-21 21:15:13,962:INFO:Starting cross validation +2022-06-21 21:15:13,964:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:14,039:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,039:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,039:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,040:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,053:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,053:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,056:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,060:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,088:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,092:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,099:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,099:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,100:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,101:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,107:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,110:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,127:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,127:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,134:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,134:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,142:INFO:Calculating mean and std +2022-06-21 21:15:14,142:INFO:Creating metrics dataframe +2022-06-21 21:15:14,147:INFO:Uploading results into container +2022-06-21 21:15:14,148:INFO:Uploading model into container now +2022-06-21 21:15:14,149:INFO:master_model_container: 6 +2022-06-21 21:15:14,149:INFO:display_container: 2 +2022-06-21 21:15:14,150:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True, + max_iter=None, normalize='deprecated', positive=False, + random_state=402, solver='auto', tol=0.001) +2022-06-21 21:15:14,150:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:14,419:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:14,419:INFO:Creating metrics dataframe +2022-06-21 21:15:14,433:INFO:Initializing Random Forest Classifier +2022-06-21 21:15:14,433:INFO:Total runtime is 0.11048990885416667 minutes +2022-06-21 21:15:14,434:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:14,434:INFO:Initializing create_model() +2022-06-21 21:15:14,435:INFO:create_model(self=, estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:14,435:INFO:Checking exceptions +2022-06-21 21:15:14,440:INFO:Importing libraries +2022-06-21 21:15:14,440:INFO:Copying training dataset +2022-06-21 21:15:14,445:INFO:Defining folds +2022-06-21 21:15:14,445:INFO:Declaring metric variables +2022-06-21 21:15:14,445:INFO:Importing untrained model +2022-06-21 21:15:14,447:INFO:Random Forest Classifier Imported successfully +2022-06-21 21:15:14,451:INFO:Starting cross validation +2022-06-21 21:15:14,453:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:14,852:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,918:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,928:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,935:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,977:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:14,999:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,020:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,054:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,454:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,459:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,466:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,466:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,497:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,512:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,515:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,517:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,970:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:15,989:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,012:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,024:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,061:INFO:Calculating mean and std +2022-06-21 21:15:16,062:INFO:Creating metrics dataframe +2022-06-21 21:15:16,068:INFO:Uploading results into container +2022-06-21 21:15:16,069:INFO:Uploading model into container now +2022-06-21 21:15:16,070:INFO:master_model_container: 7 +2022-06-21 21:15:16,070:INFO:display_container: 2 +2022-06-21 21:15:16,071:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None, + criterion='gini', max_depth=None, max_features='sqrt', + max_leaf_nodes=None, max_samples=None, + min_impurity_decrease=0.0, 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=402, verbose=0, warm_start=False) +2022-06-21 21:15:16,071:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:16,435:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:16,436:INFO:Creating metrics dataframe +2022-06-21 21:15:16,445:INFO:Initializing Quadratic Discriminant Analysis +2022-06-21 21:15:16,446:INFO:Total runtime is 0.1440288782119751 minutes +2022-06-21 21:15:16,447:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:16,449:INFO:Initializing create_model() +2022-06-21 21:15:16,449:INFO:create_model(self=, estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:16,450:INFO:Checking exceptions +2022-06-21 21:15:16,455:INFO:Importing libraries +2022-06-21 21:15:16,455:INFO:Copying training dataset +2022-06-21 21:15:16,459:INFO:Defining folds +2022-06-21 21:15:16,459:INFO:Declaring metric variables +2022-06-21 21:15:16,461:INFO:Importing untrained model +2022-06-21 21:15:16,463:INFO:Quadratic Discriminant Analysis Imported successfully +2022-06-21 21:15:16,466:INFO:Starting cross validation +2022-06-21 21:15:16,467:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:16,527:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,528:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,527:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,532:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,538:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,539:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,546:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,548:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,585:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,590:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,593:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,594:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,599:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,607:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,608:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,616:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,629:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,637:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,642:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,650:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:16,671:INFO:Calculating mean and std +2022-06-21 21:15:16,673:INFO:Creating metrics dataframe +2022-06-21 21:15:16,683:INFO:Uploading results into container +2022-06-21 21:15:16,687:INFO:Uploading model into container now +2022-06-21 21:15:16,688:INFO:master_model_container: 8 +2022-06-21 21:15:16,689:INFO:display_container: 2 +2022-06-21 21:15:16,690:INFO:QuadraticDiscriminantAnalysis(priors=None, reg_param=0.0, + store_covariance=False, tol=0.0001) +2022-06-21 21:15:16,690:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:17,069:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:17,070:INFO:Creating metrics dataframe +2022-06-21 21:15:17,087:INFO:Initializing Ada Boost Classifier +2022-06-21 21:15:17,088:INFO:Total runtime is 0.15473041931788128 minutes +2022-06-21 21:15:17,089:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:17,091:INFO:Initializing create_model() +2022-06-21 21:15:17,091:INFO:create_model(self=, estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:17,092:INFO:Checking exceptions +2022-06-21 21:15:17,096:INFO:Importing libraries +2022-06-21 21:15:17,097:INFO:Copying training dataset +2022-06-21 21:15:17,102:INFO:Defining folds +2022-06-21 21:15:17,103:INFO:Declaring metric variables +2022-06-21 21:15:17,104:INFO:Importing untrained model +2022-06-21 21:15:17,108:INFO:Ada Boost Classifier Imported successfully +2022-06-21 21:15:17,111:INFO:Starting cross validation +2022-06-21 21:15:17,113:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:17,447:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,480:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,504:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,554:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,654:INFO:PyCaret ClassificationExperiment +2022-06-21 21:15:17,655:INFO:Logging name: clf-default-name +2022-06-21 21:15:17,656:INFO:ML Usecase: MLUsecase.CLASSIFICATION +2022-06-21 21:15:17,656:INFO:version 3.0.0.rc1 +2022-06-21 21:15:17,657:INFO:Initializing setup() +2022-06-21 21:15:17,657:INFO:self.USI: 9b54 +2022-06-21 21:15:17,658:INFO:self.variable_keys: {'X_train', 'gpu_param', 'USI', '_available_plots', '_is_multiclass', 'fold_groups_param', 'X', '_all_metrics', 'y', 'display_container', 'X_test', 'pipeline', 'exp_name_log', 'exp_id', 'data', '_all_models', 'seed', 'logging_param', '_ml_usecase', 'n_jobs_param', 'idx', 'memory', 'target_param', 'y_train', 'y_test', 'fold_shuffle_param', 'master_model_container', 'fold_generator', 'fix_imbalance', '_all_models_internal', '_gpu_n_jobs_param', 'html_param', 'log_plots_param', 'variable_keys'} +2022-06-21 21:15:17,659:INFO:Checking environment +2022-06-21 21:15:17,659:INFO:python_version: 3.9.7 +2022-06-21 21:15:17,660:INFO:python_build: ('default', 'Sep 16 2021 13:09:58') +2022-06-21 21:15:17,660:INFO:machine: x86_64 +2022-06-21 21:15:17,661:INFO:platform: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:15:17,663:INFO:Memory: svmem(total=8230690816, available=1265549312, percent=84.6, used=5525721088, free=127344640, active=3534618624, inactive=3887202304, buffers=109002752, cached=2468622336, shared=1126731776, slab=374218752) +2022-06-21 21:15:17,666:INFO:Physical Core: 2 +2022-06-21 21:15:17,667:INFO:Logical Core: 4 +2022-06-21 21:15:17,668:INFO:Checking libraries +2022-06-21 21:15:17,671:INFO: +System: +2022-06-21 21:15:17,674:INFO: python: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0] +2022-06-21 21:15:17,679:INFO:executable: /home/tonne/development/anaconda3/bin/python +2022-06-21 21:15:17,679:INFO: machine: Linux-5.18.4-051804-generic-x86_64-with-glibc2.35 +2022-06-21 21:15:17,680:INFO: +PyCaret required dependencies: +2022-06-21 21:15:17,682:INFO: pip: 22.1.2 +2022-06-21 21:15:17,685:INFO: setuptools: 58.0.4 +2022-06-21 21:15:17,685:INFO: pycaret: 3.0.0.rc1 +2022-06-21 21:15:17,686:INFO: ipython: Not installed +2022-06-21 21:15:17,687:INFO: ipywidgets: 7.6.5 +2022-06-21 21:15:17,688:INFO: tqdm: 4.62.3 +2022-06-21 21:15:17,689:INFO: numpy: 1.21.5 +2022-06-21 21:15:17,690:INFO: pandas: 1.3.5 +2022-06-21 21:15:17,691:INFO: jinja2: 3.0.3 +2022-06-21 21:15:17,694:INFO: scipy: 1.7.1 +2022-06-21 21:15:17,695:INFO: joblib: 1.1.0 +2022-06-21 21:15:17,697:INFO: sklearn: 1.1.1 +2022-06-21 21:15:17,700:INFO: pyod: Installed but version unavailable +2022-06-21 21:15:17,703:INFO: imblearn: 0.9.1 +2022-06-21 21:15:17,704:INFO: category_encoders: 2.5.0 +2022-06-21 21:15:17,706:INFO: lightgbm: 3.2.1 +2022-06-21 21:15:17,707:INFO: numba: 0.55.2 +2022-06-21 21:15:17,713:INFO: requests: 2.27.1 +2022-06-21 21:15:17,713:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,715:INFO: matplotlib: 3.4.3 +2022-06-21 21:15:17,720:INFO: scikitplot: 0.3.7 +2022-06-21 21:15:17,722:INFO: yellowbrick: 1.4 +2022-06-21 21:15:17,724:INFO: plotly: 5.5.0 +2022-06-21 21:15:17,726:INFO: kaleido: 0.2.1 +2022-06-21 21:15:17,727:INFO: statsmodels: 0.12.2 +2022-06-21 21:15:17,732:INFO: sktime: 0.11.4 +2022-06-21 21:15:17,733:INFO: tbats: Installed but version unavailable +2022-06-21 21:15:17,734:INFO: pmdarima: 1.8.5 +2022-06-21 21:15:17,735:INFO: psutil: 5.9.0 +2022-06-21 21:15:17,738:INFO: +PyCaret optional dependencies: +2022-06-21 21:15:17,739:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,741:INFO: shap: 0.39.0 +2022-06-21 21:15:17,744:INFO: interpret: 0.2.7 +2022-06-21 21:15:17,747:INFO: umap: 0.5.3 +2022-06-21 21:15:17,750:INFO: pandas_profiling: 3.2.0 +2022-06-21 21:15:17,753:INFO: explainerdashboard: Installed but version unavailable +2022-06-21 21:15:17,755:INFO: autoviz: 0.1.39 +2022-06-21 21:15:17,756:INFO: fairlearn: 0.7.0 +2022-06-21 21:15:17,757:INFO: xgboost: 1.4.0 +2022-06-21 21:15:17,758:INFO: catboost: 1.0.6 +2022-06-21 21:15:17,759:INFO: kmodes: 0.12.1 +2022-06-21 21:15:17,764:INFO: mlxtend: 0.20.0 +2022-06-21 21:15:17,765:INFO: statsforecast: 0.5.5 +2022-06-21 21:15:17,768:INFO: tune_sklearn: 0.4.3 +2022-06-21 21:15:17,771:INFO: ray: 1.12.1 +2022-06-21 21:15:17,771:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,772:INFO: hyperopt: 0.2.7 +2022-06-21 21:15:17,772:INFO: optuna: 2.10.0 +2022-06-21 21:15:17,773:INFO: skopt: 0.9.0 +2022-06-21 21:15:17,774:INFO: mlflow: 1.26.1 +2022-06-21 21:15:17,774:INFO: gradio: 3.0.11 +2022-06-21 21:15:17,775:INFO: fastapi: 0.75.2 +2022-06-21 21:15:17,775:INFO: uvicorn: 0.17.6 +2022-06-21 21:15:17,776:INFO: m2cgen: 0.10.0 +2022-06-21 21:15:17,777:INFO: evidently: 0.1.51.dev0 +2022-06-21 21:15:17,779:INFO: nltk: 3.6.5 +2022-06-21 21:15:17,781:INFO: pyLDAvis: Not installed +2022-06-21 21:15:17,781:INFO: gensim: Not installed +2022-06-21 21:15:17,782:INFO: spacy: Not installed +2022-06-21 21:15:17,785:INFO: wordcloud: 1.8.1 +2022-06-21 21:15:17,786:INFO: textblob: 0.17.1 +2022-06-21 21:15:17,786:INFO: fugue: 0.6.6 +2022-06-21 21:15:17,787:INFO: streamlit: 1.10.0 +2022-06-21 21:15:17,796:INFO: prophet: Not installed +2022-06-21 21:15:17,797:INFO:None +2022-06-21 21:15:17,798:INFO:Set up data. +2022-06-21 21:15:17,818:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,820:INFO:Set up train/test split. +2022-06-21 21:15:17,903:INFO:Assigning column types. +2022-06-21 21:15:17,907:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:17,956:INFO:Set up folding strategy. +2022-06-21 21:15:17,985:INFO:Preparing preprocessing pipeline... +2022-06-21 21:15:17,988:INFO:Set up simple imputation. +2022-06-21 21:15:18,006:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,027:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,049:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,267:INFO:Finished creating preprocessing pipeline. +2022-06-21 21:15:18,275:INFO:Pipeline: Pipeline(memory=Memory(location=/tmp/joblib), + steps=[('numerical_imputer', + TransformerWrapper(exclude=None, include=['Number of times pregnant', 'Plasma glucose concentration a 2 hours in an oral glucose tolerance test', 'Diastolic blood pressure (mm Hg)', 'Triceps skin fold thickness (mm)', '2-Hour serum insulin (mu U/ml)', 'Body mass index (weight in kg/(height in m)^2)', 'Diabetes pedigr...nsformer=SimpleImputer(add_indicator=False, copy=True, fill_value=None, missing_values=nan, strategy='mean', verbose='deprecated'))), + ('categorical_imputer', + TransformerWrapper(exclude=None, include=[], transformer=SimpleImputer(add_indicator=False, copy=True, fill_value='constant', missing_values=nan, strategy='constant', verbose='deprecated')))], + verbose=False) +2022-06-21 21:15:18,277:INFO:Creating final display dataframe. +2022-06-21 21:15:18,311:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,342:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,389:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,520:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,531:INFO:Setup display_container: Description Value +0 Session id 8228 +1 Target Class variable +2 Target type Binary +3 Original data shape (768, 9) +4 Transformed data shape (768, 9) +5 Transformed train set shape (537, 9) +6 Transformed test set shape (231, 9) +7 Numeric features 8 +8 Preprocess True +9 Imputation type simple +10 Numeric imputation mean +11 Categorical imputation constant +12 Fold Generator StratifiedKFold +13 Fold Number 10 +14 CPU Jobs -1 +15 Use GPU False +16 Log Experiment False +17 Experiment Name clf-default-name +18 USI 9b54 +2022-06-21 21:15:18,539:INFO: Description Value +0 Session id 8228 +1 Target Class variable +2 Target type Binary +3 Original data shape (768, 9) +4 Transformed data shape (768, 9) +5 Transformed train set shape (537, 9) +6 Transformed test set shape (231, 9) +7 Numeric features 8 +8 Preprocess True +9 Imputation type simple +10 Numeric imputation mean +11 Categorical imputation constant +12 Fold Generator StratifiedKFold +13 Fold Number 10 +14 CPU Jobs -1 +15 Use GPU False +16 Log Experiment False +17 Experiment Name clf-default-name +18 USI 9b54 +2022-06-21 21:15:18,547:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,561:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,684:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,733:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:18,832:INFO:Calculating mean and std +2022-06-21 21:15:18,834:INFO:Creating metrics dataframe +2022-06-21 21:15:18,852:INFO:Uploading results into container +2022-06-21 21:15:18,858:INFO:Uploading model into container now +2022-06-21 21:15:18,862:INFO:master_model_container: 9 +2022-06-21 21:15:18,868:INFO:display_container: 2 +2022-06-21 21:15:18,885:INFO:AdaBoostClassifier(algorithm='SAMME.R', base_estimator=None, learning_rate=1.0, + n_estimators=50, random_state=402) +2022-06-21 21:15:18,892:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:19,221:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:19,233:INFO:Creating metrics dataframe +2022-06-21 21:15:19,280:INFO:Initializing Gradient Boosting Classifier +2022-06-21 21:15:19,291:INFO:Total runtime is 0.19144898255666098 minutes +2022-06-21 21:15:19,309:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:19,314:INFO:Initializing create_model() +2022-06-21 21:15:19,315:INFO:create_model(self=, estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:19,315:INFO:Checking exceptions +2022-06-21 21:15:19,337:INFO:Importing libraries +2022-06-21 21:15:19,342:INFO:setup() successfully completed in 1.69s............... +2022-06-21 21:15:19,343:INFO:Copying training dataset +2022-06-21 21:15:19,343:INFO:Initializing compare_models() +2022-06-21 21:15:19,346:INFO:compare_models(self=, include=None, fold=None, round=4, cross_validation=True, sort=Accuracy, n_select=1, budget_time=None, turbo=True, errors=ignore, fit_kwargs=None, groups=None, experiment_custom_tags=None, probability_threshold=None, verbose=True, parallel=None, caller_params={'self': , 'include': None, 'exclude': None, 'fold': None, 'round': 4, 'cross_validation': True, 'sort': 'Accuracy', 'n_select': 1, 'budget_time': None, 'turbo': True, 'errors': 'ignore', 'fit_kwargs': None, 'groups': None, 'experiment_custom_tags': None, 'probability_threshold': None, 'verbose': True, 'parallel': None, '__class__': }, exclude=None) +2022-06-21 21:15:19,347:INFO:Checking exceptions +2022-06-21 21:15:19,354:INFO:Preparing display monitor +2022-06-21 21:15:19,355:INFO:Defining folds +2022-06-21 21:15:19,361:WARNING: Processing: 0%| | 0/69 [00:00, estimator=lr, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:19,374:INFO:Checking exceptions +2022-06-21 21:15:19,378:INFO:Importing libraries +2022-06-21 21:15:19,379:INFO:Copying training dataset +2022-06-21 21:15:19,412:INFO:Defining folds +2022-06-21 21:15:19,413:INFO:Declaring metric variables +2022-06-21 21:15:19,416:INFO:Importing untrained model +2022-06-21 21:15:19,424:INFO:Logistic Regression Imported successfully +2022-06-21 21:15:19,428:INFO:Starting cross validation +2022-06-21 21:15:19,431:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:19,627:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,635:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,674:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,685:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,694:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,724:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,727:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,736:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,924:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,936:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,955:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,966:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,982:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,991:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:19,992:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,005:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,143:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,153:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,207:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,215:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,233:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,248:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,319:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,332:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,419:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,429:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,433:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,442:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,463:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,471:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,524:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,535:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,651:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,658:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,659:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,665:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,675:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,676:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,687:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,695:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:20,700:INFO:Calculating mean and std +2022-06-21 21:15:20,701:INFO:Creating metrics dataframe +2022-06-21 21:15:20,707:INFO:Uploading results into container +2022-06-21 21:15:20,708:INFO:Uploading model into container now +2022-06-21 21:15:20,709:INFO:master_model_container: 10 +2022-06-21 21:15:20,709:INFO:display_container: 2 +2022-06-21 21:15:20,711:INFO:GradientBoostingClassifier(ccp_alpha=0.0, criterion='friedman_mse', init=None, + learning_rate=0.1, loss='log_loss', max_depth=3, + max_features=None, max_leaf_nodes=None, + min_impurity_decrease=0.0, min_samples_leaf=1, + min_samples_split=2, min_weight_fraction_leaf=0.0, + n_estimators=100, n_iter_no_change=None, + random_state=402, subsample=1.0, tol=0.0001, + validation_fraction=0.1, verbose=0, + warm_start=False) +2022-06-21 21:15:20,712:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:20,991:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:20,992:INFO:Creating metrics dataframe +2022-06-21 21:15:20,998:INFO:Calculating mean and std +2022-06-21 21:15:21,004:WARNING: Processing: 0%| | 0/69 [00:00, estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:21,020:INFO:master_model_container: 1 +2022-06-21 21:15:21,020:INFO:Checking exceptions +2022-06-21 21:15:21,021:INFO:display_container: 2 +2022-06-21 21:15:21,026:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=8228, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:21,027:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:21,031:INFO:Importing libraries +2022-06-21 21:15:21,259:INFO:Copying training dataset +2022-06-21 21:15:21,260:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:21,262:INFO:Creating metrics dataframe +2022-06-21 21:15:21,279:INFO:Defining folds +2022-06-21 21:15:21,289:INFO:Declaring metric variables +2022-06-21 21:15:21,298:INFO:Importing untrained model +2022-06-21 21:15:21,299:INFO:Linear Discriminant Analysis Imported successfully +2022-06-21 21:15:21,306:INFO:Starting cross validation +2022-06-21 21:15:21,312:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:21,304:INFO:Initializing K Neighbors Classifier +2022-06-21 21:15:21,314:INFO:Total runtime is 0.0324913223584493 minutes +2022-06-21 21:15:21,315:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:21,315:INFO:Initializing create_model() +2022-06-21 21:15:21,326:INFO:create_model(self=, estimator=knn, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:21,328:INFO:Checking exceptions +2022-06-21 21:15:21,343:INFO:Importing libraries +2022-06-21 21:15:21,373:INFO:Copying training dataset +2022-06-21 21:15:21,413:WARNING: Processing: 7%|7 | 5/69 [00:01<00:21, 3.05it/s] Processing: 62%|######2 | 43/69 [00:13<00:10, 2.43it/s] +2022-06-21 21:15:21,414:INFO:Defining folds +2022-06-21 21:15:21,414:INFO:Declaring metric variables +2022-06-21 21:15:21,416:INFO:Importing untrained model +2022-06-21 21:15:21,419:INFO:K Neighbors Classifier Imported successfully +2022-06-21 21:15:21,421:INFO:Starting cross validation +2022-06-21 21:15:21,424:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:21,429:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,457:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,465:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,474:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,476:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,478:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,490:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,490:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,521:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,530:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,531:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,544:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,545:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,546:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,553:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,554:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,570:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,585:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,588:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,589:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,593:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,603:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,619:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,624:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,650:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,658:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,669:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,700:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,714:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,736:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,743:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,748:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,757:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,761:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,770:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,777:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,788:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,794:INFO:Calculating mean and std +2022-06-21 21:15:21,795:INFO:Creating metrics dataframe +2022-06-21 21:15:21,803:INFO:Uploading results into container +2022-06-21 21:15:21,804:INFO:Uploading model into container now +2022-06-21 21:15:21,805:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,807:INFO:master_model_container: 11 +2022-06-21 21:15:21,808:INFO:display_container: 2 +2022-06-21 21:15:21,810:INFO:LinearDiscriminantAnalysis(covariance_estimator=None, n_components=None, + priors=None, shrinkage=None, solver='svd', + store_covariance=False, tol=0.0001) +2022-06-21 21:15:21,811:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:21,818:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:21,862:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,066:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:22,067:INFO:Creating metrics dataframe +2022-06-21 21:15:22,081:INFO:Initializing Extra Trees Classifier +2022-06-21 21:15:22,081:INFO:Total runtime is 0.2379576881726583 minutes +2022-06-21 21:15:22,082:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:22,083:INFO:Calculating mean and std +2022-06-21 21:15:22,084:INFO:Initializing create_model() +2022-06-21 21:15:22,085:WARNING: Processing: 10%|# | 7/69 [00:02<00:17, 3.53it/s] Processing: 65%|######5 | 45/69 [00:13<00:08, 2.74it/s] +2022-06-21 21:15:22,086:INFO:create_model(self=, estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:22,087:INFO:Creating metrics dataframe +2022-06-21 21:15:22,087:INFO:Checking exceptions +2022-06-21 21:15:22,095:INFO:Uploading results into container +2022-06-21 21:15:22,098:INFO:Uploading model into container now +2022-06-21 21:15:22,102:INFO:Importing libraries +2022-06-21 21:15:22,105:INFO:master_model_container: 2 +2022-06-21 21:15:22,106:INFO:Copying training dataset +2022-06-21 21:15:22,108:INFO:display_container: 2 +2022-06-21 21:15:22,114:INFO:Defining folds +2022-06-21 21:15:22,115:INFO:KNeighborsClassifier(algorithm='auto', leaf_size=30, metric='minkowski', + metric_params=None, n_jobs=-1, n_neighbors=5, p=2, + weights='uniform') +2022-06-21 21:15:22,115:INFO:Declaring metric variables +2022-06-21 21:15:22,115:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:22,116:INFO:Importing untrained model +2022-06-21 21:15:22,381:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:22,383:INFO:Extra Trees Classifier Imported successfully +2022-06-21 21:15:22,384:INFO:Creating metrics dataframe +2022-06-21 21:15:22,385:INFO:Starting cross validation +2022-06-21 21:15:22,388:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:22,397:INFO:Initializing Naive Bayes +2022-06-21 21:15:22,398:INFO:Total runtime is 0.05055404901504516 minutes +2022-06-21 21:15:22,399:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:22,400:INFO:Initializing create_model() +2022-06-21 21:15:22,400:INFO:create_model(self=, estimator=nb, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:22,401:INFO:Checking exceptions +2022-06-21 21:15:22,409:INFO:Importing libraries +2022-06-21 21:15:22,412:INFO:Copying training dataset +2022-06-21 21:15:22,437:WARNING: Processing: 13%|#3 | 9/69 [00:02<00:18, 3.32it/s] Processing: 68%|######8 | 47/69 [00:14<00:06, 3.29it/s] Processing: 70%|######9 | 48/69 [00:14<00:06, 3.36it/s] +2022-06-21 21:15:22,438:INFO:Defining folds +2022-06-21 21:15:22,439:INFO:Declaring metric variables +2022-06-21 21:15:22,440:INFO:Importing untrained model +2022-06-21 21:15:22,445:INFO:Naive Bayes Imported successfully +2022-06-21 21:15:22,452:INFO:Starting cross validation +2022-06-21 21:15:22,453:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:22,690:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,734:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,772:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,817:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,833:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,837:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,876:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:22,879:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,177:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,222:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,271:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,303:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,315:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,328:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,330:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,341:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,367:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,369:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,384:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,397:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,425:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,428:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,433:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,433:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,434:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,437:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,441:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,444:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,478:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,484:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,489:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,491:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,533:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,533:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,540:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,540:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,556:INFO:Calculating mean and std +2022-06-21 21:15:23,557:WARNING: Processing: 16%|#5 | 11/69 [00:03<00:15, 3.85it/s] +2022-06-21 21:15:23,558:INFO:Creating metrics dataframe +2022-06-21 21:15:23,568:INFO:Uploading results into container +2022-06-21 21:15:23,571:INFO:Uploading model into container now +2022-06-21 21:15:23,573:INFO:master_model_container: 3 +2022-06-21 21:15:23,574:INFO:display_container: 2 +2022-06-21 21:15:23,575:INFO:GaussianNB(priors=None, var_smoothing=1e-09) +2022-06-21 21:15:23,575:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:23,745:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,777:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,780:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,812:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:23,891:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:23,892:INFO:Creating metrics dataframe +2022-06-21 21:15:23,901:INFO:Initializing Decision Tree Classifier +2022-06-21 21:15:23,901:INFO:Total runtime is 0.07561097145080567 minutes +2022-06-21 21:15:23,902:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:23,903:INFO:Initializing create_model() +2022-06-21 21:15:23,903:INFO:create_model(self=, estimator=dt, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:23,903:INFO:Checking exceptions +2022-06-21 21:15:23,904:INFO:Calculating mean and std +2022-06-21 21:15:23,908:INFO:Creating metrics dataframe +2022-06-21 21:15:23,913:INFO:Uploading results into container +2022-06-21 21:15:23,915:INFO:Uploading model into container now +2022-06-21 21:15:23,918:INFO:Importing libraries +2022-06-21 21:15:23,919:INFO:master_model_container: 12 +2022-06-21 21:15:23,920:INFO:Copying training dataset +2022-06-21 21:15:23,920:INFO:display_container: 2 +2022-06-21 21:15:23,924:INFO:ExtraTreesClassifier(bootstrap=False, ccp_alpha=0.0, class_weight=None, + criterion='gini', max_depth=None, max_features='sqrt', + max_leaf_nodes=None, max_samples=None, + min_impurity_decrease=0.0, 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=402, verbose=0, warm_start=False) +2022-06-21 21:15:23,928:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:24,174:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:24,175:WARNING: Processing: 19%|#8 | 13/69 [00:04<00:19, 2.81it/s] Processing: 71%|#######1 | 49/69 [00:16<00:10, 1.84it/s] +2022-06-21 21:15:24,175:INFO:Creating metrics dataframe +2022-06-21 21:15:24,175:INFO:Defining folds +2022-06-21 21:15:24,178:INFO:Declaring metric variables +2022-06-21 21:15:24,180:INFO:Importing untrained model +2022-06-21 21:15:24,185:INFO:Initializing Extreme Gradient Boosting +2022-06-21 21:15:24,187:INFO:Decision Tree Classifier Imported successfully +2022-06-21 21:15:24,187:INFO:Total runtime is 0.27305657863616944 minutes +2022-06-21 21:15:24,189:INFO:Starting cross validation +2022-06-21 21:15:24,190:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:24,191:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:24,191:INFO:Initializing create_model() +2022-06-21 21:15:24,193:INFO:create_model(self=, estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:24,194:INFO:Checking exceptions +2022-06-21 21:15:24,200:INFO:Importing libraries +2022-06-21 21:15:24,201:INFO:Copying training dataset +2022-06-21 21:15:24,213:INFO:Defining folds +2022-06-21 21:15:24,214:INFO:Declaring metric variables +2022-06-21 21:15:24,215:INFO:Importing untrained model +2022-06-21 21:15:24,217:INFO:Extreme Gradient Boosting Imported successfully +2022-06-21 21:15:24,231:INFO:Starting cross validation +2022-06-21 21:15:24,239:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:24,251:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,267:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,269:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,277:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,283:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,290:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,311:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,321:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,335:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,345:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,348:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,358:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,389:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,390:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,399:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:24,400:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:25,234:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:25,255:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:25,255:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:25,308:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:26,614:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:26,644:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:26,647:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:26,660:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:26,766:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:26,771:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:26,793:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:26,802:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:26,874:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:26,974:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:26,991:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:27,031:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:27,046:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:27,048:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:27,065:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:27,090:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:27,167:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:27,179:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:27,307:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:27,352:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:28,312:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,334:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,361:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,385:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,478:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,506:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,513:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,528:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,534:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,562:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,642:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:28,682:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,700:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,735:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,741:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,742:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,747:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,768:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/sklearn.py:1146: UserWarning: The use of label encoder in XGBClassifier is deprecated and will be removed in a future release. To remove this warning, do the following: 1) Pass option use_label_encoder=False when constructing XGBClassifier object; and 2) Encode your labels (y) as integers starting with 0, i.e. 0, 1, 2, ..., [num_class - 1]. + warnings.warn(label_encoder_deprecation_msg, UserWarning) + +2022-06-21 21:15:28,790:INFO:Calculating mean and std +2022-06-21 21:15:28,795:WARNING: Processing: 22%|##1 | 15/69 [00:04<00:18, 2.93it/s] Processing: 74%|#######3 | 51/69 [00:16<00:07, 2.49it/s] +2022-06-21 21:15:28,797:INFO:Creating metrics dataframe +2022-06-21 21:15:28,817:INFO:Uploading results into container +2022-06-21 21:15:28,820:INFO:Uploading model into container now +2022-06-21 21:15:28,821:INFO:master_model_container: 4 +2022-06-21 21:15:28,826:INFO:display_container: 2 +2022-06-21 21:15:28,827:INFO:DecisionTreeClassifier(ccp_alpha=0.0, class_weight=None, criterion='gini', + max_depth=None, max_features=None, max_leaf_nodes=None, + min_impurity_decrease=0.0, min_samples_leaf=1, + min_samples_split=2, min_weight_fraction_leaf=0.0, + random_state=8228, splitter='best') +2022-06-21 21:15:28,828:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:28,937:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,961:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:28,985:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:28,998:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:29,342:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:29,343:INFO:Creating metrics dataframe +2022-06-21 21:15:29,360:INFO:Initializing SVM - Linear Kernel +2022-06-21 21:15:29,366:INFO:Total runtime is 0.1666959802309672 minutes +2022-06-21 21:15:29,370:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:29,373:INFO:Initializing create_model() +2022-06-21 21:15:29,375:INFO:create_model(self=, estimator=svm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:29,376:INFO:Checking exceptions +2022-06-21 21:15:29,391:INFO:Importing libraries +2022-06-21 21:15:29,394:INFO:Copying training dataset +2022-06-21 21:15:29,408:WARNING: Processing: 25%|##4 | 17/69 [00:09<00:49, 1.05it/s] +2022-06-21 21:15:29,412:INFO:Defining folds +2022-06-21 21:15:29,414:INFO:Declaring metric variables +2022-06-21 21:15:29,415:INFO:Importing untrained model +2022-06-21 21:15:29,417:INFO:SVM - Linear Kernel Imported successfully +2022-06-21 21:15:29,418:INFO:Starting cross validation +2022-06-21 21:15:29,421:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:29,475:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,507:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:29,525:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,531:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:29,545:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,601:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,619:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,626:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,626:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,658:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,647:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,674:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,752:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,772:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,778:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,781:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,783:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,811:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,883:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,893:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,912:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,914:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,924:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,928:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,935:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,935:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:29,937:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:29,946:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/xgboost/data.py:112: UserWarning: Use subset (sliced data) of np.ndarray is not recommended because it will generate extra copies and increase memory consumption + warnings.warn( + +2022-06-21 21:15:29,965:INFO:Calculating mean and std +2022-06-21 21:15:29,968:INFO:Calculating mean and std +2022-06-21 21:15:29,974:INFO:Creating metrics dataframe +2022-06-21 21:15:29,976:WARNING: Processing: 28%|##7 | 19/69 [00:10<00:37, 1.33it/s] Processing: 77%|#######6 | 53/69 [00:22<00:20, 1.25s/it] +2022-06-21 21:15:29,977:INFO:Creating metrics dataframe +2022-06-21 21:15:29,985:INFO:Uploading results into container +2022-06-21 21:15:29,986:INFO:Uploading model into container now +2022-06-21 21:15:30,001:INFO:master_model_container: 5 +2022-06-21 21:15:30,004:INFO:display_container: 2 +2022-06-21 21:15:30,005:INFO:SGDClassifier(alpha=0.0001, average=False, class_weight=None, + early_stopping=False, epsilon=0.1, eta0=0.001, fit_intercept=True, + l1_ratio=0.15, learning_rate='optimal', loss='hinge', + max_iter=1000, n_iter_no_change=5, n_jobs=-1, penalty='l2', + power_t=0.5, random_state=8228, shuffle=True, tol=0.001, + validation_fraction=0.1, verbose=0, warm_start=False) +2022-06-21 21:15:30,016:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:30,023:INFO:Uploading results into container +2022-06-21 21:15:30,563:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:30,567:INFO:Uploading model into container now +2022-06-21 21:15:30,569:INFO:Creating metrics dataframe +2022-06-21 21:15:30,570:INFO:master_model_container: 13 +2022-06-21 21:15:30,572:INFO:display_container: 2 +2022-06-21 21:15:30,575:INFO:XGBClassifier(base_score=None, booster='gbtree', colsample_bylevel=None, + colsample_bynode=None, colsample_bytree=None, gamma=None, + gpu_id=None, importance_type='gain', interaction_constraints=None, + learning_rate=None, max_delta_step=None, max_depth=None, + min_child_weight=None, missing=nan, monotone_constraints=None, + n_estimators=100, n_jobs=-1, num_parallel_tree=None, + objective='binary:logistic', random_state=402, reg_alpha=None, + reg_lambda=None, scale_pos_weight=None, subsample=None, + tree_method='auto', use_label_encoder=True, + validate_parameters=None, verbosity=0) +2022-06-21 21:15:30,581:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:30,969:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:30,969:INFO:Creating metrics dataframe +2022-06-21 21:15:30,971:INFO:Initializing Ridge Classifier +2022-06-21 21:15:30,976:INFO:Total runtime is 0.19352633555730184 minutes +2022-06-21 21:15:30,988:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:30,993:INFO:Initializing Light Gradient Boosting Machine +2022-06-21 21:15:30,994:INFO:Initializing create_model() +2022-06-21 21:15:30,995:INFO:Total runtime is 0.3865109841028849 minutes +2022-06-21 21:15:30,996:INFO:create_model(self=, estimator=ridge, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:30,996:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:30,997:INFO:Checking exceptions +2022-06-21 21:15:30,999:INFO:Initializing create_model() +2022-06-21 21:15:31,004:INFO:create_model(self=, estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:31,005:INFO:Checking exceptions +2022-06-21 21:15:31,012:INFO:Importing libraries +2022-06-21 21:15:31,023:INFO:Importing libraries +2022-06-21 21:15:31,025:INFO:Copying training dataset +2022-06-21 21:15:31,027:INFO:Copying training dataset +2022-06-21 21:15:31,038:WARNING: Processing: 30%|### | 21/69 [00:10<00:29, 1.64it/s] +2022-06-21 21:15:31,052:INFO:Defining folds +2022-06-21 21:15:31,059:INFO:Defining folds +2022-06-21 21:15:31,060:INFO:Declaring metric variables +2022-06-21 21:15:31,060:INFO:Declaring metric variables +2022-06-21 21:15:31,061:INFO:Importing untrained model +2022-06-21 21:15:31,063:INFO:Importing untrained model +2022-06-21 21:15:31,065:INFO:Ridge Classifier Imported successfully +2022-06-21 21:15:31,068:INFO:Light Gradient Boosting Machine Imported successfully +2022-06-21 21:15:31,072:INFO:Starting cross validation +2022-06-21 21:15:31,077:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:31,079:INFO:Starting cross validation +2022-06-21 21:15:31,085:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:31,246:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:31,307:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:31,421:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:31,435:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,135:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,198:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,249:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,258:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,273:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,289:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,331:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,337:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,369:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:36,374:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:37,837:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:37,889:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:38,948:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,022:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,385:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,400:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,456:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,526:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,588:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,642:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,741:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,771:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,806:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,810:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,945:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,939:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,951:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,974:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:39,997:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:40,017:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:40,066:INFO:Calculating mean and std +2022-06-21 21:15:40,073:WARNING: Processing: 33%|###3 | 23/69 [00:11<00:26, 1.71it/s] Processing: 80%|#######9 | 55/69 [00:23<00:14, 1.02s/it] +2022-06-21 21:15:40,074:INFO:Creating metrics dataframe +2022-06-21 21:15:40,107:INFO:Uploading results into container +2022-06-21 21:15:40,117:INFO:Uploading model into container now +2022-06-21 21:15:40,120:INFO:master_model_container: 6 +2022-06-21 21:15:40,123:INFO:display_container: 2 +2022-06-21 21:15:40,124:INFO:RidgeClassifier(alpha=1.0, class_weight=None, copy_X=True, fit_intercept=True, + max_iter=None, normalize='deprecated', positive=False, + random_state=8228, solver='auto', tol=0.001) +2022-06-21 21:15:40,125:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:40,454:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:40,481:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:41,089:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:41,103:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:41,623:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:41,642:INFO:Creating metrics dataframe +2022-06-21 21:15:41,675:INFO:Initializing Random Forest Classifier +2022-06-21 21:15:41,676:INFO:Total runtime is 0.371865971883138 minutes +2022-06-21 21:15:41,680:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:41,686:INFO:Initializing create_model() +2022-06-21 21:15:41,688:INFO:create_model(self=, estimator=rf, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:41,692:INFO:Checking exceptions +2022-06-21 21:15:41,700:INFO:Importing libraries +2022-06-21 21:15:41,707:INFO:Copying training dataset +2022-06-21 21:15:41,721:WARNING: Processing: 36%|###6 | 25/69 [00:20<01:18, 1.77s/it] +2022-06-21 21:15:41,722:INFO:Defining folds +2022-06-21 21:15:41,723:INFO:Declaring metric variables +2022-06-21 21:15:41,725:INFO:Importing untrained model +2022-06-21 21:15:41,731:INFO:Random Forest Classifier Imported successfully +2022-06-21 21:15:41,733:INFO:Starting cross validation +2022-06-21 21:15:41,735:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:42,421:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,440:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,516:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,585:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,664:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,791:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,842:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,869:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:42,929:INFO:Calculating mean and std +2022-06-21 21:15:42,942:INFO:Creating metrics dataframe +2022-06-21 21:15:42,968:INFO:Uploading results into container +2022-06-21 21:15:42,994:INFO:Uploading model into container now +2022-06-21 21:15:43,009:INFO:master_model_container: 14 +2022-06-21 21:15:43,010:INFO:display_container: 2 +2022-06-21 21:15:43,011:INFO:LGBMClassifier(boosting_type='gbdt', class_weight=None, colsample_bytree=1.0, + importance_type='split', learning_rate=0.1, max_depth=-1, + min_child_samples=20, min_child_weight=0.001, min_split_gain=0.0, + n_estimators=100, n_jobs=-1, num_leaves=31, objective=None, + random_state=402, reg_alpha=0.0, reg_lambda=0.0, silent=True, + subsample=1.0, subsample_for_bin=200000, subsample_freq=0) +2022-06-21 21:15:43,063:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:43,603:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,636:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,747:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,754:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,771:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,901:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,959:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:43,970:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:43,976:INFO:Creating metrics dataframe +2022-06-21 21:15:43,983:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,019:INFO:Initializing CatBoost Classifier +2022-06-21 21:15:44,023:INFO:Total runtime is 0.6036480108896891 minutes +2022-06-21 21:15:44,024:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:44,029:INFO:Initializing create_model() +2022-06-21 21:15:44,045:INFO:create_model(self=, estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:44,045:INFO:Checking exceptions +2022-06-21 21:15:44,055:INFO:Importing libraries +2022-06-21 21:15:44,074:INFO:Copying training dataset +2022-06-21 21:15:44,092:INFO:Defining folds +2022-06-21 21:15:44,092:INFO:Declaring metric variables +2022-06-21 21:15:44,094:INFO:Importing untrained model +2022-06-21 21:15:44,104:INFO:CatBoost Classifier Imported successfully +2022-06-21 21:15:44,115:INFO:Starting cross validation +2022-06-21 21:15:44,117:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:44,542:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,622:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,687:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,715:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,822:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,904:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:44,989:INFO:Calculating mean and std +2022-06-21 21:15:44,999:WARNING: Processing: 39%|###9 | 27/69 [00:22<01:02, 1.49s/it] Processing: 83%|########2 | 57/69 [00:35<00:31, 2.59s/it] Processing: 86%|########5 | 59/69 [00:36<00:19, 1.96s/it] +2022-06-21 21:15:45,000:INFO:Creating metrics dataframe +2022-06-21 21:15:45,057:INFO:Uploading results into container +2022-06-21 21:15:45,067:INFO:Uploading model into container now +2022-06-21 21:15:45,081:INFO:master_model_container: 7 +2022-06-21 21:15:45,082:INFO:display_container: 2 +2022-06-21 21:15:45,082:INFO:RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None, + criterion='gini', max_depth=None, max_features='sqrt', + max_leaf_nodes=None, max_samples=None, + min_impurity_decrease=0.0, 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=8228, verbose=0, warm_start=False) +2022-06-21 21:15:45,098:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:46,319:INFO:SubProcess create_model() end ================================== +2022-06-21 21:15:46,334:INFO:Creating metrics dataframe +2022-06-21 21:15:46,415:INFO:Initializing Quadratic Discriminant Analysis +2022-06-21 21:15:46,415:INFO:Total runtime is 0.45084393421808877 minutes +2022-06-21 21:15:46,416:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:46,425:INFO:Initializing create_model() +2022-06-21 21:15:46,426:INFO:create_model(self=, estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:46,426:INFO:Checking exceptions +2022-06-21 21:15:46,485:INFO:Importing libraries +2022-06-21 21:15:46,499:INFO:Copying training dataset +2022-06-21 21:15:46,518:WARNING: Processing: 42%|####2 | 29/69 [00:25<01:01, 1.53s/it] +2022-06-21 21:15:46,531:INFO:Defining folds +2022-06-21 21:15:46,548:INFO:Declaring metric variables +2022-06-21 21:15:46,573:INFO:Importing untrained model +2022-06-21 21:15:46,581:INFO:Quadratic Discriminant Analysis Imported successfully +2022-06-21 21:15:46,585:INFO:Starting cross validation +2022-06-21 21:15:46,586:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:50,893:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:51,030:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:52,994:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:53,007:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:54,250:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:54,313:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:54,878:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:54,919:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,226:INFO: Stopping... +2022-06-21 21:15:56,329:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,341:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,391:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,402:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,406:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,422:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,429:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,435:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,456:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,464:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,473:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,507:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,522:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,534:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,537:WARNING:/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/utils/metaestimators.py:201: FutureWarning: if_delegate_has_method was deprecated in version 1.1 and will be removed in version 1.3. Use if_available instead. + warnings.warn( + +2022-06-21 21:15:56,548:INFO: Stopping... +2022-06-21 21:15:56,713:INFO: Stopping... +2022-06-21 21:15:56,855:WARNING:create_model() for catboost raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:56,855:WARNING:create_model() for qda raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:56,859:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1056, in __call__ + self.retrieve() + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 935, in retrieve + self._output.extend(job.get(timeout=self.timeout)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 542, in wrap_future_result + return future.result(timeout=timeout) + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 445, in result + return self.__get_result() + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 390, in __get_result + raise self._exception +joblib.externals.loky.process_executor.ShutdownExecutorError: The Executor was shutdown with `kill_workers=True` before this job could complete. + +2022-06-21 21:15:56,860:INFO:Initializing create_model() +2022-06-21 21:15:56,861:INFO:create_model(self=, estimator=qda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:56,861:INFO:Checking exceptions +2022-06-21 21:15:56,866:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1056, in __call__ + self.retrieve() + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 935, in retrieve + self._output.extend(job.get(timeout=self.timeout)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 542, in wrap_future_result + return future.result(timeout=timeout) + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 445, in result + return self.__get_result() + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 390, in __get_result + raise self._exception +joblib.my_exceptions.WorkerInterrupt + +2022-06-21 21:15:56,871:INFO:Initializing create_model() +2022-06-21 21:15:56,871:INFO:Importing libraries +2022-06-21 21:15:56,872:INFO:create_model(self=, estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:56,872:INFO:Copying training dataset +2022-06-21 21:15:56,873:INFO:Checking exceptions +2022-06-21 21:15:56,878:WARNING: Processing: 45%|####4 | 31/69 [00:27<00:49, 1.30s/it] +2022-06-21 21:15:56,879:INFO:Importing libraries +2022-06-21 21:15:56,880:INFO:Defining folds +2022-06-21 21:15:56,880:INFO:Copying training dataset +2022-06-21 21:15:56,881:INFO:Declaring metric variables +2022-06-21 21:15:56,889:INFO:Importing untrained model +2022-06-21 21:15:56,897:INFO:Quadratic Discriminant Analysis Imported successfully +2022-06-21 21:15:56,898:INFO:Defining folds +2022-06-21 21:15:56,899:INFO:Starting cross validation +2022-06-21 21:15:56,900:INFO:Declaring metric variables +2022-06-21 21:15:56,902:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:56,905:INFO:Importing untrained model +2022-06-21 21:15:56,910:INFO:CatBoost Classifier Imported successfully +2022-06-21 21:15:56,912:INFO:Starting cross validation +2022-06-21 21:15:56,914:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:56,914:INFO: Stopping... +2022-06-21 21:15:56,922:ERROR:create_model() for qda raised an exception or returned all 0.0: +2022-06-21 21:15:56,926:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1056, in __call__ + self.retrieve() + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 935, in retrieve + self._output.extend(job.get(timeout=self.timeout)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 542, in wrap_future_result + return future.result(timeout=timeout) + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 445, in result + return self.__get_result() + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 390, in __get_result + raise self._exception +joblib.externals.loky.process_executor.ShutdownExecutorError: The Executor was shutdown with `kill_workers=True` before this job could complete. + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:56,927:INFO:Initializing Ada Boost Classifier +2022-06-21 21:15:56,930:INFO:Total runtime is 0.62608749071757 minutes +2022-06-21 21:15:56,933:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:56,934:INFO:Initializing create_model() +2022-06-21 21:15:56,934:INFO:create_model(self=, estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:56,935:INFO:Checking exceptions +2022-06-21 21:15:56,936:ERROR:create_model() for catboost raised an exception or returned all 0.0: +2022-06-21 21:15:56,938:INFO:Importing libraries +2022-06-21 21:15:56,939:INFO:Copying training dataset +2022-06-21 21:15:56,952:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1056, in __call__ + self.retrieve() + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 935, in retrieve + self._output.extend(job.get(timeout=self.timeout)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 542, in wrap_future_result + return future.result(timeout=timeout) + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 445, in result + return self.__get_result() + File "/home/tonne/development/anaconda3/lib/python3.9/concurrent/futures/_base.py", line 390, in __get_result + raise self._exception +joblib.my_exceptions.WorkerInterrupt + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:56,952:INFO:Initializing Dummy Classifier +2022-06-21 21:15:56,953:INFO:Defining folds +2022-06-21 21:15:56,954:INFO:Total runtime is 0.8191633542378743 minutes +2022-06-21 21:15:56,954:INFO:Declaring metric variables +2022-06-21 21:15:56,956:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:56,957:INFO:Importing untrained model +2022-06-21 21:15:56,957:INFO:Initializing create_model() +2022-06-21 21:15:56,958:INFO:Ada Boost Classifier Imported successfully +2022-06-21 21:15:56,959:INFO:create_model(self=, estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:56,961:INFO:Starting cross validation +2022-06-21 21:15:56,962:INFO:Checking exceptions +2022-06-21 21:15:56,964:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:56,972:INFO:Importing libraries +2022-06-21 21:15:56,974:INFO:Copying training dataset +2022-06-21 21:15:56,984:INFO:Defining folds +2022-06-21 21:15:56,985:INFO:Declaring metric variables +2022-06-21 21:15:56,985:INFO:Importing untrained model +2022-06-21 21:15:56,986:INFO:Dummy Classifier Imported successfully +2022-06-21 21:15:56,987:INFO:Starting cross validation +2022-06-21 21:15:56,994:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,002:WARNING:create_model() for ada raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:57,005:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,007:INFO:Initializing create_model() +2022-06-21 21:15:57,008:WARNING:create_model() for dummy raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:57,009:INFO:create_model(self=, estimator=ada, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,010:INFO:Checking exceptions +2022-06-21 21:15:57,014:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,015:INFO:Initializing create_model() +2022-06-21 21:15:57,017:INFO:create_model(self=, estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,019:INFO:Importing libraries +2022-06-21 21:15:57,019:INFO:Checking exceptions +2022-06-21 21:15:57,020:INFO:Copying training dataset +2022-06-21 21:15:57,032:INFO:Importing libraries +2022-06-21 21:15:57,032:INFO:Copying training dataset +2022-06-21 21:15:57,037:WARNING: Processing: 48%|####7 | 33/69 [00:37<01:28, 2.47s/it] Processing: 88%|########8 | 61/69 [00:49<00:26, 3.33s/it] +2022-06-21 21:15:57,043:INFO:Defining folds +2022-06-21 21:15:57,044:INFO:Declaring metric variables +2022-06-21 21:15:57,046:INFO:Importing untrained model +2022-06-21 21:15:57,047:INFO:Ada Boost Classifier Imported successfully +2022-06-21 21:15:57,049:INFO:Defining folds +2022-06-21 21:15:57,049:INFO:Starting cross validation +2022-06-21 21:15:57,050:INFO:Declaring metric variables +2022-06-21 21:15:57,050:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,051:INFO:Importing untrained model +2022-06-21 21:15:57,056:INFO:Dummy Classifier Imported successfully +2022-06-21 21:15:57,063:INFO:Starting cross validation +2022-06-21 21:15:57,066:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,083:ERROR:create_model() for dummy raised an exception or returned all 0.0: +2022-06-21 21:15:57,085:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,087:ERROR:create_model() for ada raised an exception or returned all 0.0: +2022-06-21 21:15:57,090:INFO:Initializing create_model() +2022-06-21 21:15:57,092:INFO:create_model(self=, estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=402, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=None, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,092:INFO:Checking exceptions +2022-06-21 21:15:57,096:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,098:INFO:Initializing Gradient Boosting Classifier +2022-06-21 21:15:57,105:INFO:Importing libraries +2022-06-21 21:15:57,108:INFO:Total runtime is 0.6290589133898417 minutes +2022-06-21 21:15:57,112:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:57,115:INFO:Copying training dataset +2022-06-21 21:15:57,115:INFO:Initializing create_model() +2022-06-21 21:15:57,117:INFO:create_model(self=, estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,117:INFO:Checking exceptions +2022-06-21 21:15:57,123:INFO:Defining folds +2022-06-21 21:15:57,124:INFO:Declaring metric variables +2022-06-21 21:15:57,126:INFO:Importing libraries +2022-06-21 21:15:57,128:INFO:Importing untrained model +2022-06-21 21:15:57,130:INFO:Copying training dataset +2022-06-21 21:15:57,131:INFO:Declaring custom model +2022-06-21 21:15:57,132:INFO: Stopping... +2022-06-21 21:15:57,134:INFO:Logistic Regression Imported successfully +2022-06-21 21:15:57,149:INFO:Cross validation set to False +2022-06-21 21:15:57,151:INFO:Fitting Model +2022-06-21 21:15:57,154:WARNING: Processing: 54%|#####3 | 37/69 [00:37<00:43, 1.35s/it] Processing: 94%|#########4| 65/69 [00:49<00:07, 1.79s/it] +2022-06-21 21:15:57,155:INFO:Defining folds +2022-06-21 21:15:57,155:INFO:Declaring metric variables +2022-06-21 21:15:57,164:INFO:Importing untrained model +2022-06-21 21:15:57,165:INFO:Gradient Boosting Classifier Imported successfully +2022-06-21 21:15:57,166:INFO:Starting cross validation +2022-06-21 21:15:57,168:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,210:WARNING:create_model() for gbc raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:57,212:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,214:INFO:Initializing create_model() +2022-06-21 21:15:57,215:INFO:create_model(self=, estimator=gbc, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,215:INFO:Checking exceptions +2022-06-21 21:15:57,220:INFO:Importing libraries +2022-06-21 21:15:57,226:INFO:Copying training dataset +2022-06-21 21:15:57,269:WARNING: Processing: 57%|#####6 | 39/69 [00:37<00:30, 1.03s/it] +2022-06-21 21:15:57,270:INFO:Defining folds +2022-06-21 21:15:57,271:INFO:Declaring metric variables +2022-06-21 21:15:57,280:INFO:Importing untrained model +2022-06-21 21:15:57,282:INFO:Gradient Boosting Classifier Imported successfully +2022-06-21 21:15:57,283:INFO:Starting cross validation +2022-06-21 21:15:57,284:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,298:ERROR:create_model() for gbc raised an exception or returned all 0.0: +2022-06-21 21:15:57,300:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,302:INFO:Initializing Linear Discriminant Analysis +2022-06-21 21:15:57,305:INFO:Total runtime is 0.6323400656382242 minutes +2022-06-21 21:15:57,313:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:57,315:INFO:Initializing create_model() +2022-06-21 21:15:57,316:INFO:create_model(self=, estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,317:INFO:Checking exceptions +2022-06-21 21:15:57,327:INFO:Importing libraries +2022-06-21 21:15:57,328:INFO:Copying training dataset +2022-06-21 21:15:57,336:INFO:Defining folds +2022-06-21 21:15:57,337:INFO:Declaring metric variables +2022-06-21 21:15:57,339:INFO:Importing untrained model +2022-06-21 21:15:57,340:INFO:Linear Discriminant Analysis Imported successfully +2022-06-21 21:15:57,345:INFO:Starting cross validation +2022-06-21 21:15:57,349:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,368:WARNING:create_model() for lda raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:57,370:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,383:INFO:Initializing create_model() +2022-06-21 21:15:57,384:INFO:create_model(self=, estimator=lda, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,385:INFO:Checking exceptions +2022-06-21 21:15:57,394:INFO:Importing libraries +2022-06-21 21:15:57,396:INFO:Copying training dataset +2022-06-21 21:15:57,414:WARNING: Processing: 59%|#####9 | 41/69 [00:37<00:21, 1.29it/s] +2022-06-21 21:15:57,415:INFO:Defining folds +2022-06-21 21:15:57,415:INFO:Declaring metric variables +2022-06-21 21:15:57,416:INFO:Importing untrained model +2022-06-21 21:15:57,418:INFO:Linear Discriminant Analysis Imported successfully +2022-06-21 21:15:57,420:INFO:Starting cross validation +2022-06-21 21:15:57,422:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,448:ERROR:create_model() for lda raised an exception or returned all 0.0: +2022-06-21 21:15:57,450:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:57,451:INFO:Initializing Extra Trees Classifier +2022-06-21 21:15:57,451:INFO:Total runtime is 0.6347731391588846 minutes +2022-06-21 21:15:57,452:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:57,453:INFO:Initializing create_model() +2022-06-21 21:15:57,454:INFO:create_model(self=, estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:57,456:INFO:Checking exceptions +2022-06-21 21:15:57,464:INFO:Importing libraries +2022-06-21 21:15:57,465:INFO:Copying training dataset +2022-06-21 21:15:57,471:INFO:Defining folds +2022-06-21 21:15:57,472:INFO:Declaring metric variables +2022-06-21 21:15:57,482:INFO:Importing untrained model +2022-06-21 21:15:57,484:INFO:Extra Trees Classifier Imported successfully +2022-06-21 21:15:57,487:INFO:Starting cross validation +2022-06-21 21:15:57,488:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:57,495:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=402, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:57,498:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:57,941:INFO: Stopping... +2022-06-21 21:15:58,001:INFO: Model Accuracy AUC Recall Prec. \ +lr Logistic Regression 0.7561 0.8197 0.5249 0.6935 +ridge Ridge Classifier 0.7561 0.0000 0.5249 0.6962 +ada Ada Boost Classifier 0.7560 0.7904 0.5614 0.6824 +lda Linear Discriminant Analysis 0.7543 0.8209 0.5249 0.6927 +rf Random Forest Classifier 0.7542 0.8012 0.5509 0.6854 +nb Naive Bayes 0.7449 0.8016 0.5775 0.6476 +knn K Neighbors Classifier 0.7393 0.7479 0.5246 0.6719 +qda Quadratic Discriminant Analysis 0.7392 0.7939 0.5237 0.6598 +et Extra Trees Classifier 0.7392 0.7903 0.5079 0.6647 +gbc Gradient Boosting Classifier 0.7300 0.8082 0.5292 0.6387 +lightgbm Light Gradient Boosting Machine 0.7280 0.7874 0.5515 0.6362 +xgboost Extreme Gradient Boosting 0.7190 0.7671 0.5254 0.6147 +dt Decision Tree Classifier 0.6516 0.6211 0.5193 0.5137 +svm SVM - Linear Kernel 0.6033 0.0000 0.3094 0.4746 + + F1 Kappa MCC TT (Sec) +lr 0.5896 0.4247 0.4367 0.363 +ridge 0.5903 0.4251 0.4378 0.018 +ada 0.6099 0.4366 0.4450 0.172 +lda 0.5886 0.4217 0.4343 0.048 +rf 0.6053 0.4314 0.4401 0.161 +nb 0.6071 0.4203 0.4241 0.023 +knn 0.5813 0.3974 0.4090 0.021 +qda 0.5782 0.3950 0.4036 0.020 +et 0.5695 0.3893 0.4003 0.151 +gbc 0.5726 0.3797 0.3868 0.133 +lightgbm 0.5850 0.3851 0.3917 1.184 +xgboost 0.5636 0.3593 0.3634 0.570 +dt 0.5106 0.2429 0.2462 0.031 +svm 0.2736 0.0672 0.0922 0.017 +2022-06-21 21:15:58,003:WARNING:create_model() for et raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:58,004:INFO:master_model_container: 14 +2022-06-21 21:15:58,005:INFO:display_container: 2 +2022-06-21 21:15:58,005:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,007:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=402, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:58,008:INFO:Initializing create_model() +2022-06-21 21:15:58,008:INFO:compare_models() successfully completed...................................... +2022-06-21 21:15:58,008:INFO:create_model(self=, estimator=et, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,377:INFO:Checking exceptions +2022-06-21 21:15:58,378:INFO: Stopping... +2022-06-21 21:15:58,384:INFO:Importing libraries +2022-06-21 21:15:58,384:INFO:Copying training dataset +2022-06-21 21:15:58,396:WARNING: Processing: 65%|######5 | 45/69 [00:38<00:10, 2.19it/s] Processing: 100%|##########| 69/69 [00:50<00:00, 1.16s/it] +2022-06-21 21:15:58,398:INFO:Defining folds +2022-06-21 21:15:58,399:INFO:Declaring metric variables +2022-06-21 21:15:58,401:INFO:Importing untrained model +2022-06-21 21:15:58,403:INFO:Extra Trees Classifier Imported successfully +2022-06-21 21:15:58,404:INFO:Starting cross validation +2022-06-21 21:15:58,405:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,417:ERROR:create_model() for et raised an exception or returned all 0.0: +2022-06-21 21:15:58,418:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,418:INFO:Initializing Extreme Gradient Boosting +2022-06-21 21:15:58,418:INFO:Total runtime is 0.6508991758028665 minutes +2022-06-21 21:15:58,419:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:58,420:INFO:Initializing create_model() +2022-06-21 21:15:58,420:INFO:create_model(self=, estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,420:INFO:Checking exceptions +2022-06-21 21:15:58,424:INFO:Importing libraries +2022-06-21 21:15:58,425:INFO:Copying training dataset +2022-06-21 21:15:58,435:INFO:Defining folds +2022-06-21 21:15:58,436:INFO:Declaring metric variables +2022-06-21 21:15:58,436:INFO:Importing untrained model +2022-06-21 21:15:58,438:INFO:Extreme Gradient Boosting Imported successfully +2022-06-21 21:15:58,446:INFO:Starting cross validation +2022-06-21 21:15:58,447:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,456:WARNING:create_model() for xgboost raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:58,457:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,459:INFO:Initializing create_model() +2022-06-21 21:15:58,462:INFO:create_model(self=, estimator=xgboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,462:INFO:Checking exceptions +2022-06-21 21:15:58,467:INFO:Importing libraries +2022-06-21 21:15:58,467:INFO:Copying training dataset +2022-06-21 21:15:58,470:INFO:Defining folds +2022-06-21 21:15:58,470:INFO:Declaring metric variables +2022-06-21 21:15:58,471:INFO:Importing untrained model +2022-06-21 21:15:58,473:INFO:Extreme Gradient Boosting Imported successfully +2022-06-21 21:15:58,475:INFO:Starting cross validation +2022-06-21 21:15:58,477:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,486:ERROR:create_model() for xgboost raised an exception or returned all 0.0: +2022-06-21 21:15:58,487:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,487:INFO:Initializing Light Gradient Boosting Machine +2022-06-21 21:15:58,487:INFO:Total runtime is 0.6520476977030435 minutes +2022-06-21 21:15:58,488:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:58,492:INFO:Initializing create_model() +2022-06-21 21:15:58,494:INFO:create_model(self=, estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,496:INFO:Checking exceptions +2022-06-21 21:15:58,501:INFO:Importing libraries +2022-06-21 21:15:58,502:INFO:Copying training dataset +2022-06-21 21:15:58,509:WARNING: Processing: 71%|#######1 | 49/69 [00:39<00:07, 2.65it/s] +2022-06-21 21:15:58,510:INFO:Defining folds +2022-06-21 21:15:58,510:INFO:Declaring metric variables +2022-06-21 21:15:58,510:INFO:Importing untrained model +2022-06-21 21:15:58,511:INFO:Light Gradient Boosting Machine Imported successfully +2022-06-21 21:15:58,512:INFO:Starting cross validation +2022-06-21 21:15:58,513:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,519:WARNING:create_model() for lightgbm raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:58,521:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,522:INFO:Initializing create_model() +2022-06-21 21:15:58,522:INFO:create_model(self=, estimator=lightgbm, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,523:INFO:Checking exceptions +2022-06-21 21:15:58,533:INFO:Importing libraries +2022-06-21 21:15:58,533:INFO:Copying training dataset +2022-06-21 21:15:58,545:INFO:Defining folds +2022-06-21 21:15:58,546:INFO:Declaring metric variables +2022-06-21 21:15:58,548:INFO:Importing untrained model +2022-06-21 21:15:58,549:INFO:Light Gradient Boosting Machine Imported successfully +2022-06-21 21:15:58,549:INFO:Starting cross validation +2022-06-21 21:15:58,550:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,557:ERROR:create_model() for lightgbm raised an exception or returned all 0.0: +2022-06-21 21:15:58,558:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,559:INFO:Initializing CatBoost Classifier +2022-06-21 21:15:58,559:INFO:Total runtime is 0.6532384355862935 minutes +2022-06-21 21:15:58,560:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:58,561:INFO:Initializing create_model() +2022-06-21 21:15:58,561:INFO:create_model(self=, estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,562:INFO:Checking exceptions +2022-06-21 21:15:58,567:INFO:Importing libraries +2022-06-21 21:15:58,567:INFO:Copying training dataset +2022-06-21 21:15:58,580:INFO:Defining folds +2022-06-21 21:15:58,581:INFO:Declaring metric variables +2022-06-21 21:15:58,582:INFO:Importing untrained model +2022-06-21 21:15:58,583:INFO:CatBoost Classifier Imported successfully +2022-06-21 21:15:58,584:INFO:Starting cross validation +2022-06-21 21:15:58,585:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,594:WARNING:create_model() for catboost raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:58,595:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,597:INFO:Initializing create_model() +2022-06-21 21:15:58,598:INFO:create_model(self=, estimator=catboost, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,599:INFO:Checking exceptions +2022-06-21 21:15:58,601:INFO:Importing libraries +2022-06-21 21:15:58,601:INFO:Copying training dataset +2022-06-21 21:15:58,605:INFO:Defining folds +2022-06-21 21:15:58,608:INFO:Declaring metric variables +2022-06-21 21:15:58,611:INFO:Importing untrained model +2022-06-21 21:15:58,614:INFO:CatBoost Classifier Imported successfully +2022-06-21 21:15:58,619:WARNING: Processing: 80%|#######9 | 55/69 [00:39<00:03, 4.62it/s] +2022-06-21 21:15:58,620:INFO:Starting cross validation +2022-06-21 21:15:58,621:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,636:ERROR:create_model() for catboost raised an exception or returned all 0.0: +2022-06-21 21:15:58,637:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,652:INFO:Initializing Dummy Classifier +2022-06-21 21:15:58,652:INFO:Total runtime is 0.6547953327496846 minutes +2022-06-21 21:15:58,653:INFO:SubProcess create_model() called ================================== +2022-06-21 21:15:58,662:INFO:Initializing create_model() +2022-06-21 21:15:58,663:INFO:create_model(self=, estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,664:INFO:Checking exceptions +2022-06-21 21:15:58,671:INFO:Importing libraries +2022-06-21 21:15:58,677:INFO:Copying training dataset +2022-06-21 21:15:58,686:INFO:Defining folds +2022-06-21 21:15:58,687:INFO:Declaring metric variables +2022-06-21 21:15:58,688:INFO:Importing untrained model +2022-06-21 21:15:58,699:INFO:Dummy Classifier Imported successfully +2022-06-21 21:15:58,701:INFO:Starting cross validation +2022-06-21 21:15:58,702:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,725:WARNING:create_model() for dummy raised an exception or returned all 0.0, trying without fit_kwargs: +2022-06-21 21:15:58,728:WARNING:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,735:INFO:Initializing create_model() +2022-06-21 21:15:58,736:INFO:create_model(self=, estimator=dummy, fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=True, predict=True, fit_kwargs={}, groups=None, refit=False, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,736:INFO:Checking exceptions +2022-06-21 21:15:58,748:INFO:Importing libraries +2022-06-21 21:15:58,748:INFO:Copying training dataset +2022-06-21 21:15:58,755:INFO:Defining folds +2022-06-21 21:15:58,757:INFO:Declaring metric variables +2022-06-21 21:15:58,760:INFO:Importing untrained model +2022-06-21 21:15:58,764:INFO:Dummy Classifier Imported successfully +2022-06-21 21:15:58,766:WARNING: Processing: 90%|########9 | 62/69 [00:39<00:00, 7.66it/s] +2022-06-21 21:15:58,769:INFO:Starting cross validation +2022-06-21 21:15:58,771:INFO:Cross validating with StratifiedKFold(n_splits=10, random_state=None, shuffle=False), n_jobs=-1 +2022-06-21 21:15:58,785:ERROR:create_model() for dummy raised an exception or returned all 0.0: +2022-06-21 21:15:58,786:ERROR:Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 768, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +During handling of the above exception, another exception occurred: + +Traceback (most recent call last): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 784, in compare_models + model, model_fit_time = self._create_model(**create_model_args) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1485, in _create_model + model, model_fit_time, model_results, _ = self._create_model_with_cv( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/pycaret/internal/pycaret_experiment/supervised_experiment.py", line 1085, in _create_model_with_cv + scores = cross_validate( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/sklearn/model_selection/_validation.py", line 266, in cross_validate + results = parallel( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 1043, in __call__ + if self.dispatch_one_batch(iterator): + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 861, in dispatch_one_batch + self._dispatch(tasks) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/parallel.py", line 779, in _dispatch + job = self._backend.apply_async(batch, callback=cb) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/_parallel_backends.py", line 531, in apply_async + future = self._workers.submit(SafeFunction(func)) + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/reusable_executor.py", line 177, in submit + return super(_ReusablePoolExecutor, self).submit( + File "/home/tonne/development/anaconda3/lib/python3.9/site-packages/joblib/externals/loky/process_executor.py", line 1123, in submit + raise RuntimeError('cannot schedule new futures after ' +RuntimeError: cannot schedule new futures after interpreter shutdown + +2022-06-21 21:15:58,800:INFO:Initializing create_model() +2022-06-21 21:15:58,801:INFO:create_model(self=, estimator=LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=8228, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False), fold=StratifiedKFold(n_splits=10, random_state=None, shuffle=False), round=4, cross_validation=False, predict=False, fit_kwargs={}, groups=None, refit=True, probability_threshold=None, experiment_custom_tags=None, verbose=False, system=False, add_to_model_list=True, metrics=None, display=None, return_train_score=False, kwargs={}) +2022-06-21 21:15:58,802:INFO: Stopping... +2022-06-21 21:15:58,802:INFO:Checking exceptions +2022-06-21 21:15:58,810:INFO:Importing libraries +2022-06-21 21:15:58,811:INFO:Copying training dataset +2022-06-21 21:15:58,823:INFO:Defining folds +2022-06-21 21:15:58,824:INFO:Declaring metric variables +2022-06-21 21:15:58,834:INFO:Importing untrained model +2022-06-21 21:15:58,835:INFO:Declaring custom model +2022-06-21 21:15:58,836:INFO:Logistic Regression Imported successfully +2022-06-21 21:15:58,838:INFO:Cross validation set to False +2022-06-21 21:15:58,838:INFO:Fitting Model +2022-06-21 21:15:58,981:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=8228, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:58,981:INFO:create_model() successfully completed...................................... +2022-06-21 21:15:59,351:INFO: Stopping... +2022-06-21 21:15:59,352:WARNING: Processing: 96%|#########5| 66/69 [00:39<00:00, 9.41it/s] +2022-06-21 21:15:59,400:INFO: Model Accuracy AUC Recall Prec. F1 Kappa MCC TT (Sec) +lr Logistic Regression 0.7653 0.8176 0.5453 0.7335 0.6203 0.4555 0.4699 0.155 +ridge Ridge Classifier 0.7652 0.0000 0.5506 0.7294 0.6229 0.4571 0.4701 0.899 +rf Random Forest Classifier 0.7522 0.7992 0.5775 0.6818 0.6159 0.4368 0.4469 0.325 +nb Naive Bayes 0.7449 0.7932 0.5719 0.6634 0.6067 0.4209 0.4290 0.110 +knn K Neighbors Classifier 0.7411 0.7394 0.5450 0.6651 0.5915 0.4061 0.4153 0.065 +dt Decision Tree Classifier 0.6723 0.6458 0.5573 0.5307 0.5359 0.2858 0.2910 0.460 +svm SVM - Linear Kernel 0.5273 0.0000 0.5833 0.4669 0.4021 0.0854 0.1098 0.054 +2022-06-21 21:15:59,400:INFO:master_model_container: 7 +2022-06-21 21:15:59,401:INFO:display_container: 2 +2022-06-21 21:15:59,401:INFO:LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True, + intercept_scaling=1, l1_ratio=None, max_iter=1000, + multi_class='auto', n_jobs=None, penalty='l2', + random_state=8228, solver='lbfgs', tol=0.0001, verbose=0, + warm_start=False) +2022-06-21 21:15:59,402:INFO:compare_models() successfully completed...................................... +2022-06-21 21:15:59,881:INFO: Stopping...