OpenML
sklearn.pipeline.Pipeline(steps__feature_selection=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.svm.classes.LinearSVC),steps__classification=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(steps__feature_selection=sklearn.feature_selection.from_model.SelectFromModel(estimator=sklearn.svm.classes.LinearSVC),steps__classification=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 26-02-2017 by Mingpeiyu Zhang 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__feature_selection", "step_name": "feature_selection"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "steps__classification", "step_name": "classification"}}]

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Rendering chart
Rendering table