docstr: Initialize with the necessary elements.
          
docstr_tok: ["Initialize","with","the","necessary","elements","."]
code: def _initialize(self):
      """Initialize with the necessary elements."""
      self.model_dir = os.path.join(self.directory, "news")
      self.conf_file = "slda.conf"
      self.__engine = InferenceEngine(self.model_dir, self.conf_file)
      self.vocab_path = os.path.join(self.model_dir, "vocab_info.txt")
      lac = hub.Module(name="lac")
      # self.__tokenizer = SimpleTokenizer(self.vocab_path)
      self.__tokenizer = LACTokenizer(self.vocab_path, lac)
  
      self.vocabulary = self.__engine.get_model().get_vocab()
      self.config = self.__engine.get_config()
      self.topic_words = self.__engine.get_model().topic_words()
      self.topic_sum_table = self.__engine.get_model().topic_sum()
  
      def take_elem(word_count):
          return word_count.count
  
      for i in range(self.config.num_topics):
          self.topic_words[i].sort(key=take_elem, reverse=True)
  
      logger.info("Finish Initialization.")
  
file_path: PaddleHub/modules/text/language_model/slda_news/module.py
imports: import os
  import paddlehub
  from paddlehub.module.module import moduleinfo
  from paddlehub.common.logger import logger
  from slda_news.inference_engine import InferenceEngine
  from slda_news.document import SLDADoc
  from slda_news.semantic_matching import SemanticMatching, WordAndDis
  from slda_news.tokenizer import LACTokenizer, SimpleTokenizer
  from slda_news.config import ModelType
  from slda_news.vocab import Vocab, WordCount
label_desc: Use image node_id 1 for calling the TopicModel obj's underlying member method code with example usage: obj._initialize() and returns: word_count