Flow
sklearn.pipeline.Pipeline(imputation=sklearn.compose._column_transformer.ColumnTransformer(numeric_imputer=sklearn.impute.SimpleImputer,categorical_imputer=sklearn_clone.SklearnSimpleImputerCloneWithMedianStrategy),encoding=sklearn.compose._column_transformer.ColumnTransformer(basic_encoder=category_encoders.one_hot.OneHotEncoder),learner=sklearn.naive_bayes.GaussianNB)

sklearn.pipeline.Pipeline(imputation=sklearn.compose._column_transformer.ColumnTransformer(numeric_imputer=sklearn.impute.SimpleImputer,categorical_imputer=sklearn_clone.SklearnSimpleImputerCloneWithMedianStrategy),encoding=sklearn.compose._column_transformer.ColumnTransformer(basic_encoder=category_encoders.one_hot.OneHotEncoder),learner=sklearn.naive_bayes.GaussianNB)

Visibility: public Uploaded 06-03-2019 by Pieter Gijsbers sklearn==0.20.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.20.2
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Automatically created scikit-learn flow.

Parameters

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputation", "step_name": "imputation"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "encoding", "step_name": "encoding"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "learner", "step_name": "learner"}}]

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