Calibration/Refinement Decomposition of LOO Scores
Open
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 157
- Forks
- 38
- Avg merge
- 4d 16h
- Merged PRs (30d)
- 2
Description
I think a breakdown of LOO scores into calibration/refinement would be interesting and useful to users. Mentioning @avehtari because Jonah mentioned you'd proposed adding this decomposition and said you might have some related work.
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
The issue proposes decomposing LOO scores into calibration and refinement, but names no files, tests, or implementation entry points. Begin by reviewing the existing LOO score calculations and the related work mentioned by Jonah and @avehtari. Before coding, clarify the decomposition and define the expected user-facing result and tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100