apachecn / apachecn/lightgbm-doc-zh
lightgbm中的dart和goss算法
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- Dominant language
- JavaScript
- Stars
- 767
- Forks
- 165
- PR merge metrics
- No merged PRs in 30d
Description
您好,我最近在用lightgbm来训练模型,我发现里面的算法有4种boosting,其中gbdt和rf我有查阅资料在网上,我了解其中的原理,可是 对于其中的Dart和Goss我不是很了解,我想问一下Dart和Goss与GBDT有哪些区别?谢谢
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Research direction
The issue names LightGBM's Dart and Goss boosting methods but mentions no documentation file, test, or entry point. First locate the relevant Chinese documentation section, then define and add a comparison with GBDT that explains the requested differences and can be reviewed for technical accuracy.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100