28 lines
902 B
Python
28 lines
902 B
Python
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import argparse
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import logging
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from gensim.models import Word2Vec
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logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
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def main():
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parser = argparse.ArgumentParser(description='metapath2vec训练word2vec')
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parser.add_argument('--size', type=int, default=128, help='词向量维数')
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parser.add_argument('--workers', type=int, default=3, help='工作线程数')
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parser.add_argument('--iter', type=int, default=10, help='迭代次数')
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parser.add_argument('corpus_file', help='语料库文件路径')
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parser.add_argument('save_path', help='保存word2vec模型文件名')
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args = parser.parse_args()
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print(args)
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model = Word2Vec(
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corpus_file=args.corpus_file, size=args.size, min_count=1,
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workers=args.workers, sg=1, iter=args.iter
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)
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model.save(args.save_path)
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if __name__ == '__main__':
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main()
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