OpenML
sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__features=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__preprocessing=sklearn.preprocessing.data.StandardScaler,steps__features=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__classifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 17-03-2017 by Kevin van Eenige 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__Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__features", "step_name": "features"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__classifier", "step_name": "classifier"}}]

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