45cc6da8a8242d041b71ee95e2caaff4569bcddb,tslearn/svm.py,TimeSeriesSVC,predict_proba,#TimeSeriesSVC#Any#,253

Before Change

            X = X.reshape((X.shape) + (1,))

        sklearn_X = _prepare_ts_datasets_sklearn(X)
        return super(TimeSeriesSVC, self).predict_proba(sklearn_X)

    def score(self, X, y, sample_weight=None):

After Change

        sklearn_X = _prepare_ts_datasets_sklearn(X)
        return self.svm_estimator_.predict_log_proba(sklearn_X)

    def predict_proba(self, X):
        X = check_array(X, allow_nd=True)
        check_is_fitted(self, "svm_estimator_")

        sklearn_X = _prepare_ts_datasets_sklearn(X)
        return self.svm_estimator_.predict_proba(sklearn_X)

    def score(self, X, y, sample_weight=None):
        X = check_array(X, allow_nd=True)

Instances