Flow
sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))

sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder))

Visibility: public Uploaded 25-08-2019 by Heinrich Peters sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 0 runs
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  • openml-python python scikit-learn sklearn sklearn_0.21.2
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Automatically created scikit-learn flow.

Parameters

n_jobsdefault: null
remainderdefault: "drop"
sparse_thresholddefault: 0.3
transformer_weightsdefault: null
transformersdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}]
verbosedefault: false

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