(self, words, del_stopword=cfg.emb.DEL_STOPWORD)
| 76 | return self |
| 77 | |
| 78 | def predict(self, words, del_stopword=cfg.emb.DEL_STOPWORD): |
| 79 | pre = [self.w2v_model._predict(words, del_stopword)[0]] |
| 80 | pre = self._normalize(pre) |
| 81 | return np.dot( self.words_list_pre[:], pre[0] ) |
| 82 |
nothing calls this directly
no test coverage detected