Flow
imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,decomp=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier)

imblearn.pipeline.Pipeline(SMOTE=imblearn.over_sampling.smote.SMOTE,decomp=sklearn.decomposition.pca.PCA,scaler=sklearn.preprocessing.data.StandardScaler,knn=sklearn.neighbors.classification.KNeighborsClassifier)

Visibility: public Uploaded 16-03-2018 by Yuntao Li sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • openml-python python scikit-learn sklearn sklearn_0.19.1
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Automatically created scikit-learn flow.

Parameters

memorydefault: null
stepsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "SMOTE", "step_name": "SMOTE"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decomp", "step_name": "decomp"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "knn", "step_name": "knn"}}]

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