def predict_class_local(self, X):
result = callBigDlFunc(self.bigdl_type,<EOL>"<STR_LIT>",<EOL>self.value,<EOL>self._to_jtensors(X))<EOL>return np.stack(result)<EOL>
:param X: X can be a ndarray or list of ndarray if the model has multiple inputs.
          The first dimension of X should be batch.
:return: a ndarray as the prediction result.