e8d6fd1a77df735a6362003014515d8249617011,deslib/des/des_clustering.py,DESClustering,classify_with_ds,#DESClustering#Any#Any#Any#Any#Any#Any#,276

Before Change

                          Predicted class label for each test example.
        
        if query.ndim < 2:
            query = query.reshape(1, -1)

        if predictions.ndim < 2:
            predictions = predictions.reshape(1, -1)

        if query.shape[0] != predictions.shape[0]:
            raise ValueError(
                "The arrays query and predictions must have the same number"
                " of samples. query.shape is {}"
                "and predictions.shape is {}".format(query.shape,
                                                     predictions.shape))

        selected_classifiers = self.select(query)
        votes = predictions[
            np.arange(predictions.shape[0])[:, None], selected_classifiers]
        predicted_label = majority_voting_rule(votes)

After Change

        
        proba = self.predict_proba_with_ds(query, predictions, probabilities,
                                           neighbors, distances, DFP_mask)
        predicted_label = proba.argmax(axis=1)
        return predicted_label

    def predict_proba_with_ds(self, query, predictions, probabilities,
                              neighbors=None, distances=None, DFP_mask=None):

Instances