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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)

Visibility: public Uploaded 07-04-2017 by Michael Torres sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 17 runs
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Automatically created scikit-learn flow.

Components

base_estimator

sklearn.tree.tree.DecisionTreeClassifier(6)

Parameters

algorithm		default: "SAMME.R"
base_estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"step_name": null, "key": "base_estimator"}}
learning_rate		default: 1.0
n_estimators		default: 50
random_state		default: null

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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier)

Components

Parameters

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