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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier)

sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 14-03-2018 by Ramirez sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 2 runs
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Automatically created scikit-learn flow.

Parameters

memory		default: null
steps		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PCA", "step_name": "PCA"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]

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sklearn.pipeline.Pipeline(Imputer=sklearn.preprocessing.imputation.Imputer,scaler=sklearn.preprocessing.data.MinMaxScaler,PCA=sklearn.decomposition.pca.PCA,estimator=sklearn.neighbors.classification.KNeighborsClassifier)

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