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2022-05-23 13:37:35,666:INFO:Initializing predict_model()
2022-05-23 13:37:35,666:INFO:predict_model(estimator=['Temperature' 'Clearsky DHI' 'Clearsky GHI' 'Cloud Type' 'Dew Point'
'DHI' 'Fill Flag' 'GHI' 'Ozone' 'Relative Humidity' 'Solar Zenith Angle'
'Surface Albedo' 'Pressure' 'Precipitable Water' 'Wind Direction'
'Wind Speed'], probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:37:35,666:INFO:Checking exceptions
2022-05-23 13:37:35,666:INFO:Preloading libraries
2022-05-23 13:37:35,666:ERROR:Pipeline not found. Exception:
2022-05-23 13:37:35,668:ERROR:Traceback (most recent call last):
File "C:\Users\safix\anaconda3\lib\site-packages\pycaret\internal\tabular.py", line 8318, in predict_model
dtypes = prep_pipe.named_steps["dtypes"]
NameError: name 'prep_pipe' is not defined
2022-05-23 13:39:20,703:INFO:Initializing predict_model()
2022-05-23 13:39:20,703:INFO:predict_model(estimator=['Temperature' 'Clearsky DHI' 'Clearsky GHI' 'Cloud Type' 'Dew Point'
'DHI' 'Fill Flag' 'GHI' 'Ozone' 'Relative Humidity' 'Solar Zenith Angle'
'Surface Albedo' 'Pressure' 'Precipitable Water' 'Wind Direction'
'Wind Speed'], probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:39:20,703:INFO:Checking exceptions
2022-05-23 13:39:20,703:INFO:Preloading libraries
2022-05-23 13:39:20,703:ERROR:Pipeline not found. Exception:
2022-05-23 13:39:20,704:ERROR:Traceback (most recent call last):
File "C:\Users\safix\anaconda3\lib\site-packages\pycaret\internal\tabular.py", line 8318, in predict_model
dtypes = prep_pipe.named_steps["dtypes"]
NameError: name 'prep_pipe' is not defined
2022-05-23 13:40:36,578:INFO:Initializing predict_model()
2022-05-23 13:40:36,578:INFO:predict_model(estimator=['Temperature' 'Clearsky DHI' 'Clearsky GHI' 'Cloud Type' 'Dew Point'
'DHI' 'Fill Flag' 'GHI' 'Ozone' 'Relative Humidity' 'Solar Zenith Angle'
'Surface Albedo' 'Pressure' 'Precipitable Water' 'Wind Direction'
'Wind Speed'], probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:40:36,578:INFO:Checking exceptions
2022-05-23 13:40:36,578:INFO:Preloading libraries
2022-05-23 13:40:36,578:ERROR:Pipeline not found. Exception:
2022-05-23 13:40:36,580:ERROR:Traceback (most recent call last):
File "C:\Users\safix\anaconda3\lib\site-packages\pycaret\internal\tabular.py", line 8318, in predict_model
dtypes = prep_pipe.named_steps["dtypes"]
NameError: name 'prep_pipe' is not defined
2022-05-23 13:45:27,353:INFO:Initializing load_model()
2022-05-23 13:45:27,354:INFO:load_model(model_name=finalcatboost.pkl, platform=None, authentication=None, verbose=True)
2022-05-23 13:46:42,149:INFO:Initializing load_model()
2022-05-23 13:46:42,150:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:49:18,324:INFO:Initializing load_model()
2022-05-23 13:49:18,324:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:49:18,365:INFO:Initializing predict_model()
2022-05-23 13:49:18,365:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000002168FA2EC10>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:49:18,366:INFO:Checking exceptions
2022-05-23 13:49:18,366:INFO:Preloading libraries
2022-05-23 13:49:26,793:INFO:Initializing load_model()
2022-05-23 13:49:26,793:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:49:26,830:INFO:Initializing predict_model()
2022-05-23 13:49:26,830:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001D50F11DF70>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:49:26,830:INFO:Checking exceptions
2022-05-23 13:49:26,830:INFO:Preloading libraries
2022-05-23 13:50:32,214:INFO:Initializing load_model()
2022-05-23 13:50:32,214:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:50:32,252:INFO:Initializing predict_model()
2022-05-23 13:50:32,253:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000002D315E42D30>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:50:32,253:INFO:Checking exceptions
2022-05-23 13:50:32,253:INFO:Preloading libraries
2022-05-23 13:52:34,708:INFO:Initializing load_model()
2022-05-23 13:52:34,708:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:34,750:INFO:Initializing predict_model()
2022-05-23 13:52:34,750:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC11776F70>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:34,750:INFO:Checking exceptions
2022-05-23 13:52:34,750:INFO:Preloading libraries
2022-05-23 13:52:38,495:INFO:Initializing load_model()
2022-05-23 13:52:38,495:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:38,514:INFO:Initializing predict_model()
2022-05-23 13:52:38,514:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC11D8D490>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:38,514:INFO:Checking exceptions
2022-05-23 13:52:38,514:INFO:Preloading libraries
2022-05-23 13:52:38,688:INFO:Initializing load_model()
2022-05-23 13:52:38,688:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:38,708:INFO:Initializing predict_model()
2022-05-23 13:52:38,708:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC120ADE80>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:38,708:INFO:Checking exceptions
2022-05-23 13:52:38,708:INFO:Preloading libraries
2022-05-23 13:52:38,876:INFO:Initializing load_model()
2022-05-23 13:52:38,876:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:38,896:INFO:Initializing predict_model()
2022-05-23 13:52:38,896:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC123C2970>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:38,896:INFO:Checking exceptions
2022-05-23 13:52:38,896:INFO:Preloading libraries
2022-05-23 13:52:39,039:INFO:Initializing load_model()
2022-05-23 13:52:39,039:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:39,059:INFO:Initializing predict_model()
2022-05-23 13:52:39,059:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC126EDAF0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:39,059:INFO:Checking exceptions
2022-05-23 13:52:39,059:INFO:Preloading libraries
2022-05-23 13:52:39,337:INFO:Initializing load_model()
2022-05-23 13:52:39,337:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:39,360:INFO:Initializing predict_model()
2022-05-23 13:52:39,360:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC12A0C610>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:39,360:INFO:Checking exceptions
2022-05-23 13:52:39,360:INFO:Preloading libraries
2022-05-23 13:52:39,506:INFO:Initializing load_model()
2022-05-23 13:52:39,506:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:52:39,525:INFO:Initializing predict_model()
2022-05-23 13:52:39,525:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC12D2E0D0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:52:39,526:INFO:Checking exceptions
2022-05-23 13:52:39,526:INFO:Preloading libraries
2022-05-23 13:55:07,655:INFO:Initializing load_model()
2022-05-23 13:55:07,655:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:55:07,674:INFO:Initializing predict_model()
2022-05-23 13:55:07,675:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001FC1304C040>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:55:07,675:INFO:Checking exceptions
2022-05-23 13:55:07,675:INFO:Preloading libraries
2022-05-23 13:58:19,043:INFO:Initializing load_model()
2022-05-23 13:58:19,043:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 13:58:19,079:INFO:Initializing predict_model()
2022-05-23 13:58:19,079:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000023812A566D0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 13:58:19,079:INFO:Checking exceptions
2022-05-23 13:58:19,079:INFO:Preloading libraries
2022-05-23 14:10:42,939:INFO:Initializing load_model()
2022-05-23 14:10:42,940:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:10:42,979:INFO:Initializing predict_model()
2022-05-23 14:10:42,979:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001F594C8BBB0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:10:42,979:INFO:Checking exceptions
2022-05-23 14:10:42,979:INFO:Preloading libraries
2022-05-23 14:12:23,722:INFO:Initializing load_model()
2022-05-23 14:12:23,723:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:12:23,761:INFO:Initializing predict_model()
2022-05-23 14:12:23,761:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001EE94AC9BB0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:12:23,761:INFO:Checking exceptions
2022-05-23 14:12:23,761:INFO:Preloading libraries
2022-05-23 14:17:42,583:INFO:Initializing load_model()
2022-05-23 14:17:42,583:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:17:42,619:INFO:Initializing predict_model()
2022-05-23 14:17:42,619:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000002A111C02F40>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:17:42,619:INFO:Checking exceptions
2022-05-23 14:17:42,619:INFO:Preloading libraries
2022-05-23 14:18:10,042:INFO:Initializing load_model()
2022-05-23 14:18:10,042:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:18:10,077:INFO:Initializing predict_model()
2022-05-23 14:18:10,077:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001A68F779B20>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:18:10,077:INFO:Checking exceptions
2022-05-23 14:18:10,077:INFO:Preloading libraries
2022-05-23 14:19:30,281:INFO:Initializing load_model()
2022-05-23 14:19:30,281:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:19:30,318:INFO:Initializing predict_model()
2022-05-23 14:19:30,318:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000028495B8F880>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:19:30,318:INFO:Checking exceptions
2022-05-23 14:19:30,318:INFO:Preloading libraries
2022-05-23 14:26:11,799:INFO:Initializing load_model()
2022-05-23 14:26:11,800:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:26:11,818:INFO:Initializing predict_model()
2022-05-23 14:26:11,818:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000028495D6BB50>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:26:11,819:INFO:Checking exceptions
2022-05-23 14:26:11,819:INFO:Preloading libraries
2022-05-23 14:26:18,017:INFO:Initializing load_model()
2022-05-23 14:26:18,017:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:26:18,039:INFO:Initializing predict_model()
2022-05-23 14:26:18,039:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x00000284961E4EE0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:26:18,039:INFO:Checking exceptions
2022-05-23 14:26:18,039:INFO:Preloading libraries
2022-05-23 14:31:58,509:INFO:Initializing load_model()
2022-05-23 14:31:58,509:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:31:58,545:INFO:Initializing predict_model()
2022-05-23 14:31:58,545:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x00000192101FE940>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:31:58,545:INFO:Checking exceptions
2022-05-23 14:31:58,545:INFO:Preloading libraries
2022-05-23 14:32:06,798:INFO:Initializing load_model()
2022-05-23 14:32:06,798:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:32:06,833:INFO:Initializing predict_model()
2022-05-23 14:32:06,834:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000019615DEE940>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:32:06,834:INFO:Checking exceptions
2022-05-23 14:32:06,834:INFO:Preloading libraries
2022-05-23 14:37:45,315:INFO:Initializing load_model()
2022-05-23 14:37:45,316:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:37:45,351:INFO:Initializing predict_model()
2022-05-23 14:37:45,352:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000023E9446E910>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:37:45,352:INFO:Checking exceptions
2022-05-23 14:37:45,352:INFO:Preloading libraries
2022-05-23 14:37:59,284:INFO:Initializing load_model()
2022-05-23 14:37:59,284:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:37:59,319:INFO:Initializing predict_model()
2022-05-23 14:37:59,320:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001830F0F3250>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:37:59,320:INFO:Checking exceptions
2022-05-23 14:37:59,320:INFO:Preloading libraries
2022-05-23 14:39:05,825:INFO:Initializing load_model()
2022-05-23 14:39:05,825:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:39:05,862:INFO:Initializing predict_model()
2022-05-23 14:39:05,862:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000001EB8F728E50>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:39:05,862:INFO:Checking exceptions
2022-05-23 14:39:05,862:INFO:Preloading libraries
2022-05-23 14:40:36,776:INFO:Initializing load_model()
2022-05-23 14:40:36,776:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:40:36,815:INFO:Initializing predict_model()
2022-05-23 14:40:36,815:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000022615941BB0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:40:36,815:INFO:Checking exceptions
2022-05-23 14:40:36,815:INFO:Preloading libraries
2022-05-23 14:43:41,063:INFO:Initializing load_model()
2022-05-23 14:43:41,063:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:43:41,099:INFO:Initializing predict_model()
2022-05-23 14:43:41,099:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000002181570FCD0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:43:41,099:INFO:Checking exceptions
2022-05-23 14:43:41,099:INFO:Preloading libraries
2022-05-23 14:44:23,007:INFO:Initializing load_model()
2022-05-23 14:44:23,008:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:44:23,072:INFO:Initializing predict_model()
2022-05-23 14:44:23,072:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x0000015E141C6D00>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:44:23,073:INFO:Checking exceptions
2022-05-23 14:44:23,073:INFO:Preloading libraries
2022-05-23 14:45:03,850:INFO:Initializing load_model()
2022-05-23 14:45:03,850:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:45:03,887:INFO:Initializing predict_model()
2022-05-23 14:45:03,887:INFO:predict_model(estimator=Pipeline(steps=[('dtypes',
DataTypes_Auto_infer(ml_usecase='regression', target='DNI')),
('imputer',
Simple_Imputer(categorical_strategy='not_available',
fill_value_categorical=None,
fill_value_numerical=None,
numeric_strategy='mean',
target_variable=None)),
('new_levels1',
New_Catagorical_Levels_in_TestData(replacement_strategy='least '
'frequent',
target='DNI...
('rem_outliers', 'passthrough'), ('cluster_all', 'passthrough'),
('dummy', Dummify(target='DNI')),
('fix_perfect', Remove_100(target='DNI')),
('clean_names', Clean_Colum_Names()),
('feature_select', 'passthrough'), ('fix_multi', 'passthrough'),
('dfs', 'passthrough'), ('pca', 'passthrough'),
['trained_model',
<catboost.core.CatBoostRegressor object at 0x000002A015C30CA0>]]), probability_threshold=None, encoded_labels=True, round=4, verbose=True, ml_usecase=MLUsecase.REGRESSION, display=None)
2022-05-23 14:45:03,888:INFO:Checking exceptions
2022-05-23 14:45:03,888:INFO:Preloading libraries
2022-05-23 14:48:13,602:INFO:Initializing load_model()
2022-05-23 14:48:13,602:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:49:05,767:INFO:Initializing load_model()
2022-05-23 14:49:05,767:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)
2022-05-23 14:49:29,206:INFO:Initializing load_model()
2022-05-23 14:49:29,206:INFO:load_model(model_name=finalcatboost, platform=None, authentication=None, verbose=True)