code: def most_similar(self, word, number=5):
          
  
          if self.word_vectors is None:
              raise Exception('Model must be fit before querying')
  
          if self.dictionary is None:
              raise Exception('No word dictionary supplied')
  
          try:
              word_idx = self.dictionary[word]
          except KeyError:
              raise Exception('Word not in dictionary')
  
          return self._similarity_query(self.word_vectors[word_idx], number)[1:]
docs: Run a similarity query, retrieving number
          most similar words.