NLP中word2vec中的workers参数是什么 [英] what is workers parameter in word2vec in NLP

问题描述

在下面的代码中.我不明白 workers 参数的含义.model = Word2Vec(sentences, size=300000, window=2, min_count=5, workers=4)

in below code . i didn't understand the meaning of workers parameter . model = Word2Vec(sentences, size=300000, window=2, min_count=5, workers=4)

推荐答案

workers = 使用这么多工作线程来训练模型(= 使用多核机器进行更快的训练).

workers = use this many worker threads to train the model (=faster training with multicore machines).

如果您的系统有 2 个内核，并且您指定 worker=2，那么数据将以两种并行方式进行训练.

If your system is having 2 cores, and if you specify workers=2, then data will be trained in two parallel ways.

默认情况下，worker = 1，即没有并行化

By default , worker = 1 i.e, no parallelization

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