Creating pymc Distribution objects
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 124
- Forks
- 24
- Avg merge
- 19h 32m
- Merged PRs (30d)
- 60
Description
- `_make_model_distribution` might need some refactoring orvalidation checks since it also accepts str and Pathlike.
- The RLSSM likelihoods can fall in either category -- 'blackbox' or 'approx_diff'
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 by locating `_make_model_distribution` and the code handling RLSSM likelihoods. Review how string and PathLike inputs are validated and how likelihoods are classified as `blackbox` or `approx_diff`; the issue does not identify tests or a precise expected behavior, so clarify the target with maintainers before making changes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100