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sklearn.pipeline.Pipeline(MII=sklearn.pipeline.FeatureUnion(features=sklearn.impute.SimpleImputer,indicators=sklearn.impute.MissingIndicator),PLY=sklearn.preprocessing.data.PolynomialFeatures,NOR=sklearn.preprocessing.data.Normalizer,SPC=sklearn.feature_selection.univariate_selection.SelectPercentile,RBF=sklearn.kernel_approximation.RBFSampler,LSV=sklearn.svm.classes.LinearSVC)

sklearn.pipeline.Pipeline(MII=sklearn.pipeline.FeatureUnion(features=sklearn.impute.SimpleImputer,indicators=sklearn.impute.MissingIndicator),PLY=sklearn.preprocessing.data.PolynomialFeatures,NOR=sklearn.preprocessing.data.Normalizer,SPC=sklearn.feature_selection.univariate_selection.SelectPercentile,RBF=sklearn.kernel_approximation.RBFSampler,LSV=sklearn.svm.classes.LinearSVC)

Visibility: public Uploaded 18-02-2019 by sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Parameters

memory		default: null
steps		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "MII", "step_name": "MII"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PLY", "step_name": "PLY"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "NOR", "step_name": "NOR"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "SPC", "step_name": "SPC"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "RBF", "step_name": "RBF"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LSV", "step_name": "LSV"}}]

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