5797 2507 sklearn.pipeline.Pipeline(steps__preprocessing=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier) sklearn.pipeline.Pipeline 1 sklearn==0.18.1 Automatically created sub-component. 2017-03-15T18:33:40 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__OneHotEncoder", "step_name": "OneHotEncoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__Classifier", "step_name": "Classifier"}}] steps__Classifier 5500 762 sklearn.ensemble.forest.RandomForestClassifier sklearn.ensemble.forest.RandomForestClassifier 16 sklearn==0.18.1 Automatically created sub-component. 2017-02-23T15:33:12 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 bootstrap true class_weight null criterion "gini" max_depth null max_features "auto" max_leaf_nodes null min_impurity_split 1e-07 min_samples_leaf 1 min_samples_split 2 min_weight_fraction_leaf 0.0 n_estimators 10 n_jobs 1 oob_score false random_state null verbose 0 warm_start false study_73 Verified_Learning_Curve,Verified_Supervised_Classification steps__preprocessing 5508 1104 sklearn.preprocessing.imputation.Imputer sklearn.preprocessing.imputation.Imputer 3 sklearn==0.18.1 Automatically created sub-component. 2017-02-26T02:53:11 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 axis 0 copy true missing_values "NaN" strategy "median" verbose 0 steps__OneHotEncoder 5509 1104 sklearn.preprocessing.data.OneHotEncoder sklearn.preprocessing.data.OneHotEncoder 3 sklearn==0.18.1 Automatically created sub-component. 2017-02-26T02:53:11 English sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 categorical_features [false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false, false] dtype {"oml-python:serialized_object": "type", "value": "np.float64"} handle_unknown "ignore" n_values "auto" sparse false