feature: Pydantic to validate configurations
Open
Nobody has claimed this yet.
discussion
- Dominant language
- Python
- Stars
- 2.8k
- Forks
- 316
- Avg merge
- 3d 9h
- Merged PRs (30d)
- 27
Description
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 linked pull-request review comment and the Pydantic validation documentation. Identify which NumPyro configurations need validation and where they enter the library before proposing an approach. Done means the intended configuration cases are validated consistently, with the behavior and coverage documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100