TypeError: train() got an unexpected keyword argument 'corpus_file'

[mahmoudSalim]

TypeErrorTraceback (most recent call last)
in ()
----> 1 vsk = Word2VecKeras(gensim.models.word2vec.LineSentence('test.txt'),iter=100)

/usr/local/lib/python2.7/dist-packages/gensim/models/word2vec.pyc in init(self, sentences, corpus_file, size, alpha, window, min_count, max_vocab_size, sample, seed, workers, min_alpha, sg, hs, negative, ns_exponent, cbow_mean, hashfxn, iter, null_word, trim_rule, sorted_vocab, batch_words, compute_loss, callbacks, max_final_vocab)
765 callbacks=callbacks, batch_words=batch_words, trim_rule=trim_rule, sg=sg, alpha=alpha, window=window,
766 seed=seed, hs=hs, negative=negative, cbow_mean=cbow_mean, min_alpha=min_alpha, compute_loss=compute_loss,
--> 767 fast_version=FAST_VERSION)
768
769 def _do_train_epoch(self, corpus_file, thread_id, offset, cython_vocab, thread_private_mem, cur_epoch,

/usr/local/lib/python2.7/dist-packages/gensim/models/base_any2vec.pyc in init(self, sentences, corpus_file, workers, vector_size, epochs, callbacks, batch_words, trim_rule, sg, alpha, window, seed, hs, negative, ns_exponent, cbow_mean, min_alpha, compute_loss, fast_version, **kwargs)
761 sentences=sentences, corpus_file=corpus_file, total_examples=self.corpus_count,
762 total_words=self.corpus_total_words, epochs=self.epochs, start_alpha=self.alpha,
--> 763 end_alpha=self.min_alpha, compute_loss=compute_loss)
764 else:
765 if trim_rule is not None:

TypeError: train() got an unexpected keyword argument 'corpus_file'