Negative weights
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- Dominant language
- Python
- Stars
- 386
- Forks
- 36
- Avg merge
- 23h 24m
- Merged PRs (30d)
- 2
Description
Is there a reason for which we forbid negative weights (ref)? Some IV weighting schemes use negative weights to isolate compliers.
Contributor guide
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 with the validation referenced in src/glum/_glm.py around line 173 and trace how weights are handled. Investigate the implications of allowing negative weights for IV weighting schemes, then define whether support is intended and what tests or documentation would establish the decision as complete.
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