Identify subgroups.
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Description
Problem:
I think there should be some ways to identify subgroups suffer heterogeneous treatment effects. e.g tree structure can help us to tell that. It seems that SHAP targets only on 1-order (or maybe 2-order interaction), but what if we want more information, say higer orders?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No file, test, or entry point is identified in the issue. Begin by locating the treatment-effect and SHAP-related code, then clarify whether subgroup discovery with tree structures or higher-order interaction analysis is in scope; done would require an agreed approach and tests demonstrating the resulting subgroup or interaction information.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100