Score Domain Adaptation Forest
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Description
The econml.metalearners.DomainAdaptationLearner does not have a score attribute. Is there a way to score it similar to CausalforestDML and DRL?
est.score()
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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 reading the DomainAdaptationLearner implementation and comparing how score() is provided by CausalforestDML and DRL. Determine the intended scoring behavior for this learner and verify that the resulting API supports est.score() consistently with those estimators; the issue does not name specific files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100