Demo entry 6758410

skip gram word2vec

   

Submitted by anonymous on Aug 13, 2018 at 18:28
Language: Python 3. Code size: 227 Bytes.

model_ug_sgr = Word2Vec(sg=1, size=200, min_count=10)
model_ug_sgr.build_vocab([x.words for x in tqdm(all_x_w2v)])
model_ug_sgr.train(utils.shuffle([x.words for x in tqdm(all_x_w2v)]), total_examples=len(all_x_w2v), epochs=1)

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