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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)

Visibility: public Uploaded 16-03-2017 by Barbara sklearn==0.18.1 numpy>=1.6.1 scipy>=0.9 5 runs
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Automatically created sub-component.

Components

base_estimator

sklearn.ensemble.forest.RandomForestClassifier(16)

Parameters

algorithm		default: "SAMME.R"
base_estimator		default: {"oml-python:serialized_object": "component_reference", "value": {"key": "base_estimator", "step_name": null}}
learning_rate		default: 1.0
n_estimators		default: 100
random_state		default: null

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sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.ensemble.forest.RandomForestClassifier)

Components

Parameters

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