如何解决wmd 模型 gensim 返回无穷大
我正在尝试计算以下 2 个向量之间的 wmd 距离，我收到的结果是 Infinity。 我什至尝试只检查单词 'django' 和 'django'，即使这样它也会返回 inf (Infinity)。
谁能推荐一个训练有素的技术技能模型？
>>> import gensim.downloader as API
>>> model = api.load('word2vec-google-news-300')
>>> distance = model.wmdistance(["kafka"],["django","pip","conda","python","django","java","springboot","rest","microservices","reddis","kafka","consumer","publisher","spark","storm","rabbitmq","customer","service","eventbus","aws","aws" "cli","azure","google","cloud","shell","bash","script","config","lambda"])
>>> distance inf
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。
