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sklearn.pipeline.Pipeline(steps__StandardScaler=sklearn.preprocessing.data.StandardScaler,steps__SelectFromModel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),steps__RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(steps__StandardScaler=sklearn.preprocessing.data.StandardScaler,steps__SelectFromModel=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.ensemble.forest.ExtraTreesClassifier),steps__RandomForestClassifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 13-03-2017 by Erica Acosta sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created sub-component.

Parameters

stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "steps__StandardScaler", "step_name": "StandardScaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__SelectFromModel", "step_name": "SelectFromModel"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__RandomForestClassifier", "step_name": "RandomForestClassifier"}}]

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