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sklearn.compose._column_transformer.ColumnTransformer(standardscaler=sklearn.preprocessing.data.StandardScaler,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)

Visibility: public Uploaded 27-08-2019 by John Ross sklearn==0.21.2 numpy>=1.6.1 scipy>=0.9 0 runs
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Automatically created scikit-learn flow.

Parameters

n_jobs		default: null
remainder		default: "drop"
sparse_threshold		default: 0.3
transformer_weights		default: null
transformers		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler", "argument_1": [true, true, false, false, false, false, false, false, false, false, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": [true, true, false, false, false, false, false, false, false, false, false, false]}}]
verbose		default: false

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sklearn.compose._column_transformer.ColumnTransformer(standardscaler=sklearn.preprocessing.data.StandardScaler,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)

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