summit.multiview_platform.monoview_classifiers.gradient_boosting
gradient_boosting¶
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classifier_class_name
= GradientBoosting¶
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class
CustomDecisionTreeGB
(criterion='gini', splitter='best', max_depth=None, min_samples_split=2, min_samples_leaf=1, min_weight_fraction_leaf=0.0, max_features=None, random_state=None, max_leaf_nodes=None, min_impurity_decrease=0.0, min_impurity_split=None, class_weight=None, presort='deprecated', ccp_alpha=0.0)¶ -
predict
(self, X, check_input=True)¶
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class
GradientBoosting
(random_state=None, loss='exponential', max_depth=1.0, n_estimators=100, init=CustomDecisionTreeGB(max_depth=1), **kwargs)¶ This class is an adaptation of scikit-learn’s GradientBoostingClassifier
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fit
(self, X, y, sample_weight=None, monitor=None)¶
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predict
(self, X)¶
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get_interpretation
(self, directory, base_file_name, y_test, multi_class=False)¶
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