python中word2vec如何训练

Gensim Word2vec 使用一个句子序列作为其输入，每个句子包含一个单词列表。的。它的参数解释如上所述：
class gensim.models.word2vec.Word2Vec(sentences=None, corpus_file=None, size=100, alpha=0.025, window=5, min_count=5, max_vocab_size=None, sample=0.001, seed=1, workers=3, min_alpha=0.0001, sg=0, hs=0, negative=5, ns_exponent=0.75, cbow_mean=1, hashfxn=, iter=5, null_word=0, trim_rule=None, sorted_vocab=1, batch_words=10000, compute_loss=False, callbacks=(), max_final_vocab=None)¶
官方网址

核心代码：

// An highlighted block
start = time.time()
MySent