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sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(steps__Imputer=sklearn.preprocessing.imputation.Imputer,steps__OneHotEncoder=sklearn.preprocessing.data.OneHotEncoder,steps__select=sklearn.feature_selection.univariate_selection.SelectPercentile,steps__Classifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 15-03-2017 by Luis Armando Perez Rey 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": {"step_name": "Imputer", "key": "steps__Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "OneHotEncoder", "key": "steps__OneHotEncoder"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "select", "key": "steps__select"}}, {"oml-python:serialized_object": "component_reference", "value": {"step_name": "Classifier", "key": "steps__Classifier"}}]

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