piskvorky/gensim

Document how to get complete document distribution from LDA

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#2,489 创建于 2019年5月10日

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 (5 评论) (0 反应) (0 负责人)Python (15,144 star) (4,349 fork)batch import
Hacktoberfestdifficulty easydocumentationgood first issue

描述

Document how to to get full document distribution from LDA, that would help in those cases where you are implementing your own distance algorithm and you need full distribution. Personally I set minimum_probability=0.0 but there might be other ways.

贡献者指南

技术栈
python
领域
documentation
议题类型
documentation
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
PythongensimLDA
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
70
研究方向
Investigate the LdaModel class in gensim's source code to understand how document topic distributions are computed and how the minimum probability parameter affects output. Review the current documentation for get document topics. Update the documentation to explain that setting minimum probability=0.0 returns the full distribution, and consider mentioning alternative methods like using the gamma array. Check the issue comments for additional user suggestions. Provide code examples showing both approaches.