code: def words_vector(self, words):
      v_words = [self._model[w] for w in self.check_words(words)]
      return (
          matutils.unitvec(array(v_words).mean(axis=0))
          if v_words
          else None
      )
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 8 for calling the WordRelatedness obj's underlying member method code with example usage: obj.words_vector(words) and returns: unknown