Flow
sklearn.ensemble.voting_classifier.VotingClassifier(kn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier)

sklearn.ensemble.voting_classifier.VotingClassifier(kn=sklearn.neighbors.classification.KNeighborsClassifier,rf=sklearn.ensemble.forest.RandomForestClassifier,gp=sklearn.gaussian_process.gpc.GaussianProcessClassifier)

Visibility: public Uploaded 14-03-2018 by Maarten van Asseldonk 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": "kn", "step_name": "kn"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gp", "step_name": "gp"}}]
flatten_transformdefault: null
n_jobsdefault: -1
votingdefault: "soft"
weightsdefault: null

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