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sklearn.ensemble.voting_classifier.VotingClassifier(xgb=xgboost.sklearn.XGBClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))

sklearn.ensemble.voting_classifier.VotingClassifier(xgb=xgboost.sklearn.XGBClassifier,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 Greg Cox sklearn==0.19.1 numpy>=1.6.1 scipy>=0.9 10 runs
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Automatically created scikit-learn flow.

Parameters

estimators		default: [{"oml-python:serialized_object": "component_reference", "value": {"key": "xgb", "step_name": "xgb"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
flatten_transform		default: null
n_jobs		default: 1
voting		default: "soft"
weights		default: null

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sklearn.ensemble.voting_classifier.VotingClassifier(xgb=xgboost.sklearn.XGBClassifier,svc=sklearn.pipeline.Pipeline(scaler=sklearn.preprocessing.data.StandardScaler,pca=sklearn.decomposition.pca.PCA,svm=sklearn.svm.classes.SVC))

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