code: def vectorize(self, sentence_list):
          '''
          Args:
              sentence_list:   The list of tokenized sentences.
                               [[`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...]]
          
          Returns:
              `np.ndarray` of tokens.
              [vector of token, vector of token, vector of token]
          '''
          test_observed_arr, _ = self.__setup_dataset(sentence_list, self.__token_master_list, self.__sentence_mean_len)
          pred_arr = self.__controller.inference(test_observed_arr)
          return self.__controller.get_feature_points(f vectorize(self, sentence_list):
          '''
          Args:
              sentence_list:   The list of tokenized sentences.
                               [[`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...]]
          
          Returns:
              `np.ndarray` of tokens.
              [vector of token, vector of token, vector of token]
          '''
          test_observed_arr, _ = self.__setup_dataset(sentence_list, self.__token_master_list, self.__sentence_mean_len)
          pred_arr = self.__controller.inference(test_observed_arr)
          return self.__controller.get_feature_points()
docs: Args:
              sentence_list:   The list of tokenized sentences.
                               [[`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...],
                               [`token`, `token`, `token`, ...]]
          
          Returns:
              `np.ndarray` of tokens.
              [vector of token, vector of token, vector of token]