Crossfitting Usage
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Description
From the paper, cross-fitting is used to reduce overfitting bias by separating the dataset into two subset when training in first stage and second stage. However, from (_ortho_learner.py:549 in function fit), It is the same data X and W used in _fit_final and _fit_nuisances.
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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 _ortho_learner.py around line 549 in fit, focusing on how _fit_final and _fit_nuisances use X and W. Verify whether the same data is intentionally reused or whether cross-fitting is missing, then document the expected behavior and add an appropriate regression test if the repository provides one.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100