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Description
Hi team,
is there any reason to adopt randomforest as model_final in ForestDRLearner? how about 'boosting-tree' based model_final, such as lightgbm?
Regards,
Yan
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Research direction
The issue names no files, tests, or entry points. Clarify whether ForestDRLearner should support random forests or boosting-tree models such as LightGBM, then define the expected model_final behavior and acceptance criteria before implementation.
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Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100