OpenML
sklearn.pipeline.Pipeline(MII=sklearn.pipeline.FeatureUnion(features=sklearn.impute.SimpleImputer,indicators=sklearn.impute.MissingIndicator),MMS=sklearn.preprocessing.data.MinMaxScaler,FIC=sklearn.decomposition.fastica_.FastICA,NYS=sklearn.kernel_approximation.Nystroem,RF=sklearn.ensemble.forest.RandomForestClassifier)

sklearn.pipeline.Pipeline(MII=sklearn.pipeline.FeatureUnion(features=sklearn.impute.SimpleImputer,indicators=sklearn.impute.MissingIndicator),MMS=sklearn.preprocessing.data.MinMaxScaler,FIC=sklearn.decomposition.fastica_.FastICA,NYS=sklearn.kernel_approximation.Nystroem,RF=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 20-02-2019 by Matthew Coad sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.1
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Automatically created scikit-learn flow.

Parameters

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "MII", "step_name": "MII"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "MMS", "step_name": "MMS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "FIC", "step_name": "FIC"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "NYS", "step_name": "NYS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RF", "step_name": "RF"}}]

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