Explore new numpyro transforms for parameterizing Temporal Processes
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- Dominant language
- Python
- Stars
- 29
- Forks
- 9
- Avg merge
- 9d 9h
- Merged PRs (30d)
- 8
Description
Contributor guide
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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 the linked NumPyro pull request at https://github.com/pyro-ppl/numpyro/pull/2208 and then inspect PyRenew's temporal-process parameterization entry points. Determine which new transforms are applicable and define the expected parameterization changes; the issue does not name files, tests, or completion criteria.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100