Flow
imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.adasyn.ADASYN,preprocessing=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,classifier=sklearn.ensemble.forest.RandomForestClassifier)

imblearn.pipeline.Pipeline(oversample=imblearn.over_sampling.adasyn.ADASYN,preprocessing=sklearn.preprocessing.data.StandardScaler,PCA=sklearn.decomposition.pca.PCA,classifier=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 16-03-2018 by jiawen wang 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": "oversample", "step_name": "oversample"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "preprocessing", "step_name": "preprocessing"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "PCA", "step_name": "PCA"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]

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