8797 1 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),extratreesclassifier=sklearn.ensemble.forest.ExtraTreesClassifier) sklearn.pipeline.Pipeline 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-09T21:43:34 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "extratreesclassifier", "step_name": "extratreesclassifier"}}] columntransformer 8775 1 sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) sklearn.compose._column_transformer.ColumnTransformer 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 n_jobs null remainder "passthrough" sparse_threshold 0.3 transformer_weights null transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}] numeric 8776 1 sklearn.pipeline.Pipeline(missingindicator=sklearn.impute.MissingIndicator,imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler) sklearn.pipeline.Pipeline 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "missingindicator", "step_name": "missingindicator"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] missingindicator 8777 1 sklearn.impute.MissingIndicator sklearn.impute.MissingIndicator 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 error_on_new false features "missing-only" missing_values NaN sparse "auto" openml-python python scikit-learn sklearn sklearn_0.20.0 imputer 8778 1 sklearn.preprocessing.imputation.Imputer sklearn.preprocessing.imputation.Imputer 29 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 axis 0 copy true missing_values "NaN" strategy "mean" verbose 0 openml-python python scikit-learn sklearn sklearn_0.20.0 standardscaler 8779 1 sklearn.preprocessing.data.StandardScaler sklearn.preprocessing.data.StandardScaler 14 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 copy true with_mean true with_std true openml-python python scikit-learn sklearn sklearn_0.20.0 openml-python python scikit-learn sklearn sklearn_0.20.0 nominal 8780 1 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) sklearn.pipeline.Pipeline 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] simpleimputer 8781 1 sklearn.impute.SimpleImputer sklearn.impute.SimpleImputer 1 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 copy true fill_value -1 missing_values NaN strategy "constant" verbose 0 openml-python python scikit-learn sklearn sklearn_0.20.0 onehotencoder 8782 1 sklearn.preprocessing._encoders.OneHotEncoder sklearn.preprocessing._encoders.OneHotEncoder 3 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-07T23:00:45 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 categorical_features null categories null dtype {"oml-python:serialized_object": "type", "value": "np.float64"} handle_unknown "ignore" n_values null sparse true openml-python python scikit-learn sklearn sklearn_0.20.0 openml-python python scikit-learn sklearn sklearn_0.20.0 openml-python python scikit-learn sklearn sklearn_0.20.0 extratreesclassifier 8802 1 sklearn.ensemble.forest.ExtraTreesClassifier sklearn.ensemble.forest.ExtraTreesClassifier 10 openml==0.8.0dev,sklearn==0.20.0 Automatically created scikit-learn flow. 2018-10-09T21:43:34 English sklearn==0.20.0 numpy>=1.6.1 scipy>=0.9 bootstrap true class_weight null criterion "gini" max_depth null max_features 0.033585105520519076 max_leaf_nodes null min_impurity_decrease 0.0 min_impurity_split null min_samples_leaf 5 min_samples_split 10 min_weight_fraction_leaf 0.0 n_estimators 100 n_jobs null oob_score false random_state null verbose 0 warm_start false openml-python python scikit-learn sklearn sklearn_0.20.0 openml-python python scikit-learn sklearn sklearn_0.20.0