16374 8323 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC) sklearn.pipeline.Pipeline 2 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-08-25T01:25:34 English sklearn==0.21.2 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": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] verbose false simpleimputer 12737 8323 sklearn.impute._base.SimpleImputer sklearn.impute._base.SimpleImputer 1 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-06-16T02:10:20 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 add_indicator false copy true fill_value null missing_values NaN strategy "most_frequent" verbose 0 openml-python python scikit-learn sklearn sklearn_0.21.2 svc 13389 9161 sklearn.svm.classes.SVC sklearn.svm.classes.SVC 31 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-07-10T13:30:35 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 C 1.0 cache_size 200 class_weight null coef0 0.0 decision_function_shape "ovr" degree 3 gamma "auto_deprecated" kernel "rbf" max_iter -1 probability false random_state null shrinking true tol 0.001 verbose false openml-python python scikit-learn sklearn sklearn_0.21.2 columntransformer 16375 8323 sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)) sklearn.compose._column_transformer.ColumnTransformer 2 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-08-25T01:25:34 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 n_jobs null remainder "drop" sparse_threshold 0.3 transformer_weights null transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false, false, false]}}] verbose false num 16376 8323 sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler) sklearn.pipeline.Pipeline 2 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-08-25T01:25:34 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] verbose false standardscaler 13294 8323 sklearn.preprocessing.data.StandardScaler sklearn.preprocessing.data.StandardScaler 29 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-07-05T18:47:45 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 copy true with_mean true with_std true openml-python python scikit-learn sklearn sklearn_0.21.2 openml-python python scikit-learn sklearn sklearn_0.21.2 cat 16377 8323 sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder) sklearn.pipeline.Pipeline 2 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-08-25T01:25:34 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 memory null steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] verbose false onehotencoder 16348 8323 sklearn.preprocessing._encoders.OneHotEncoder sklearn.OneHotEncoder sklearn.preprocessing._encoders.OneHotEncoder 11 openml==0.9.0,sklearn==0.21.2 Automatically created scikit-learn flow. 2019-08-17T16:23:43 English sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 categorical_features null categories null drop 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_0.21.2 openml-python python scikit-learn sklearn sklearn_0.21.2 openml-python python scikit-learn sklearn sklearn_0.21.2 openml-python python scikit-learn sklearn sklearn_0.21.2