def trainWord2Vec(train_data, eval_data, save_path, vec_dim): FLAGS.train_data = train_data FLAGS.eval_data = eval_data FLAGS.save_path = save_path FLAGS.embedding_size = vec_dim word2vec.main([]) print "done training data"
def testWord2Vec(self): FLAGS.batch_size = 5 FLAGS.num_neg_samples = 10 FLAGS.epochs_to_train = 1 FLAGS.min_count = 0 word2vec.main([])