cddf39be59c3c1231d2d4fd3b9bfc10a21e63780,imblearn/under_sampling/prototype_generation/cluster_centroids.py,ClusterCentroids,_sample,#ClusterCentroids#Any#Any#,107

Before Change

                X_resampled = np.concatenate((X_resampled, centroids), axis=0)
                y_resampled = np.concatenate(
                    (y_resampled, np.array([target_class] * n_samples)),
                    axis=0)
            else:

After 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):
            X_resampled = sparse.vstack([sparse.csr_matrix(X_resampled),
                                         safe_indexing(X, idx_under)])
        else:
            X_resampled = np.vstack((X_resampled, safe_indexing(X, idx_under)))
        y_resampled = np.hstack((y_resampled, safe_indexing(y, idx_under)))

        return X_resampled, np.array(y_resampled)

Instances