piskvorky/gensim

Document how to get complete document distribution from LDA

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#2,489 建立於 2019年5月10日

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 (5 留言) (0 反應) (0 負責人)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.

貢獻者指南

技術棧
python
領域
documentation
議題類型
documentation
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
1-3 hours
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
stale
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
clear
前置要求
PythongensimLDA
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
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.