Flow
sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,PLY=sklearn.preprocessing.data.PolynomialFeatures,MAS=sklearn.preprocessing.data.MaxAbsScaler,PCA=sklearn.decomposition.pca.PCA,LGR=sklearn.linear_model.logistic.LogisticRegression)

sklearn.pipeline.Pipeline(SMP=sklearn.impute.SimpleImputer,PLY=sklearn.preprocessing.data.PolynomialFeatures,MAS=sklearn.preprocessing.data.MaxAbsScaler,PCA=sklearn.decomposition.pca.PCA,LGR=sklearn.linear_model.logistic.LogisticRegression)

Visibility: public Uploaded 25-02-2019 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": "SMP", "step_name": "SMP"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PLY", "step_name": "PLY"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "MAS", "step_name": "MAS"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PCA", "step_name": "PCA"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "LGR", "step_name": "LGR"}}]

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