Flow
sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=xgboost.sklearn.XGBClassifier,weights=sklearn.svm.classes.SVC)

sklearn.ensemble.voting_classifier.VotingClassifier(estimators=sklearn.ensemble.forest.RandomForestClassifier,voting=xgboost.sklearn.XGBClassifier,weights=sklearn.svm.classes.SVC)

Visibility: public Uploaded 10-03-2017 by János Szedelényi sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 1 runs
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  • Verified_Supervised_Classification
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Automatically created scikit-learn flow.

Components

weightssklearn.svm.classes.SVC(5)
estimatorssklearn.ensemble.forest.RandomForestClassifier(16)
votingxgboost.sklearn.XGBClassifier(3)

Parameters

estimatorsdefault: [{"oml-python:serialized_object": "component_reference", "value": {"key": "estimators", "step_name": "estimators"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "voting", "step_name": "voting"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "weights", "step_name": "weights"}}]
n_jobsdefault: -1
votingdefault: "soft"
weightsdefault: [8, 8, 8]

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