2e7c0700d00da702cdccb7c19b6fe1857b5bd1b7,imblearn/under_sampling/prototype_generation/cluster_centroids.py,ClusterCentroids,_sample,#ClusterCentroids#Any#Any#,111

Before Change

            else:
                target_class_indices = np.flatnonzero(y == target_class)
                idx_under = np.concatenate(
                    (idx_under, target_class_indices), axis=0)

        X_resampled = np.concatenate((centroids))

        if sparse.issparse(X):

After Change

            else:
                self.voting_ = "soft"
        else:
            if self.voting in VOTING_KIND:
                self.voting_ = self.voting
            else:
                raise ValueError(""voting" needs to be one of {}. Got {}"
                                 " instead.".format(VOTING_KIND, self.voting))

        X_resampled, y_resampled = [], []
        for target_class in np.unique(y):
            if target_class in self.ratio_.keys():
                n_samples = self.ratio_[target_class]

Instances