bba1901f835525551dde9ec1537d041abc88d293,deslib/static/oracle.py,Oracle,predict,#Oracle#Any#Any#,77

Before Change

                if predicted == y[sample_index]:
                    predicted = int(predicted)
                    predicted_labels[sample_index] = predicted
                    break
                predicted_labels[sample_index] = predicted

        return self.classes_.take(predicted_labels)

After Change

                             "".format(self.n_features_, X.shape[1]))

        y = self.enc_.transform(y)
        preds = [clf.predict(X[:, self.estimator_features_[idx]])
                 for idx, clf in enumerate(self.pool_classifiers_)]
        preds = np.asarray(preds).T
        hit_miss = np.asarray(preds) == y.reshape(-1, 1)
        idx_sel_classifier = hit_miss.argmax(axis=1)
        predicted_labels = preds[np.arange(preds.shape[0]), idx_sel_classifier]

        return self.classes_.take(predicted_labels.astype(int))

Instances