Use MultiOutputGRF as a wrapper for multi treatment CausalForest
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Description
Hey,
I have multi treatments and I want to use CausalForest but with your wrapper MultiOutputGRF on top.
I do not have confounding in my data so I do not want to use the full CausalForestDML with the two models only the final model with the wrapper.
How can I do that?
Thank you
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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
Start by reviewing the MultiOutputGRF and CausalForest APIs and any usage examples in the repository. Clarify whether the wrapper can support multi-treatment CausalForest without CausalForestDML, and document the supported usage or limitation once the expected behavior is established.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100