code: def score(self, test_X, test_Y):
          
          with self.tf_graph.as_default():
              with tf.Session() as self.tf_session:
                  self.tf_saver.restore(self.tf_session, self.model_path)
                  feed = {
                      self.input_data: test_X,
                      self.input_labels: test_Y,
                      self.keep_prob: 1
                  }
                  return self.accuracy.eval(feed)
docs: Compute the mean accuracy over the test set.
  
          Parameters
          ----------
  
          test_X : array_like, shape (n_samples, n_features)
              Test data.
  
          test_Y : array_like, shape (n_samples, n_features)
              Test labels.
  
          Returns
          -------
  
          float : mean accuracy over the test set