adfcd7c21f3f2fc6077eb00abf4887cd2d567880,deslib/base.py,DS,predict_proba,#DS#,404

Before Change

                    ind_ds_original_matrix = ind_disagreement[ind_ds_classifier]

                    for index in ind_ds_original_matrix:
                        instance = X[ind_ds_original_matrix]
                        predicted_proba[index, :] = self.predict_proba_with_ds(instance, base_predictions[index, :])

        // Reset the neighbors and the distances as they are specific to a given query.
        self.neighbors = None
        self.distances = None
        return predicted_proba

After Change

                    predicted_proba[ind_knn_original_matrix] = self.roc_algorithm.predict_proba(X_DS[ind_knn_classifier])

                    // Remove from the neighbors and distance matrices the samples that were classified using the KNN
                    self.neighbors = np.delete(self.neighbors, ind_knn_classifier, axis=0)
                    self.distances = np.delete(self.distances, ind_knn_classifier, axis=0)
            else:
                // IH was not considered. So all samples with disagreement are passed down to the DS algorithm
                ind_ds_classifier = np.arange(ind_disagreement.size)

Instances