89f3201a37d309d20fea44dcde6f05950f3d8a28,autosklearn/pipeline/components/classification/gradient_boosting.py,GradientBoostingClassifier,fit,#GradientBoostingClassifier#Any#Any#Any#Any#,34

Before Change

        self.fully_fit_ = False

    def fit(self, X, y, sample_weight=None, refit=False):
        if self.estimator is None or refit:
            self.iterative_fit(X, y, n_iter=1, sample_weight=sample_weight,
                               refit=refit)

        while not self.configuration_fully_fitted():
            self.iterative_fit(X, y, n_iter=1, sample_weight=sample_weight)
        return self

After Change

        self.fully_fit_ = False

    def fit(self, X, y, sample_weight=None, refit=False):
        self.iterative_fit(X, y, n_iter=1, sample_weight=sample_weight,
                           refit=True)
        while not self.configuration_fully_fitted():
            self.iterative_fit(X, y, n_iter=1, sample_weight=sample_weight)
        return self

Instances