DEVELOPMENT... OpenML
Flow
sklearn.pipeline.Pipeline(selectkbest=sklearn.feature_selection.univariate_selection.SelectKBest,standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)

sklearn.pipeline.Pipeline(selectkbest=sklearn.feature_selection.univariate_selection.SelectKBest,standardscaler=sklearn.preprocessing.data.StandardScaler,gaussiannb=sklearn.naive_bayes.GaussianNB)

Visibility: public Uploaded 30-03-2019 by Steven sklearn==0.20.1 numpy>=1.6.1 scipy>=0.9 1 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": "selectkbest", "step_name": "selectkbest"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gaussiannb", "step_name": "gaussiannb"}}]

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Parameter:
Rendering chart
Rendering table

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