Flow
sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))

sklearn.ensemble.voting_classifier.VotingClassifier(rf=sklearn.ensemble.forest.RandomForestClassifier,knn=sklearn.neighbors.classification.KNeighborsClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))

Visibility: public Uploaded 13-03-2018 by Bas Bluemink 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

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "knn", "step_name": "knn"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
flatten_transformdefault: null
n_jobsdefault: 1
votingdefault: "soft"
weightsdefault: null

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