def get(self):
        return _load_output(self._output_dir, _get_func_fullname(self.func),
                            timestamp=self.timestamp,
                            metadata=self.metadata, mmap_mode=self.mmap_mode,
                            verbose=self.verbose)
Test storing/loading the entire model in word2vec format.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/externals/joblib/memory.py/MemorizedResult.get--crossover with--dataset/ETHPy150Open largelymfs/topical_word_embeddings/TWE-1/gensim/test/test_word2vec.py/TestWord2VecModel.testPersistenceWord2VecFormat