pymc-devs / pymc-devs/pytensor-distributions
Discrete Weibull entropy
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- Dominant language
- Python
- Stars
- 5
- Forks
- 4
- Avg merge
- 3h 13m
- Merged PRs (30d)
- 9
Description
We use explicit summation; usually, when we do this, we use the ppf to get reasonable bounds. But for some combination of parameters, the discrete Weibull has crazy tails, leading to a huge number of evaluations, or even before that problems creating the grid.
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 locating the discrete Weibull entropy implementation and reviewing its explicit summation, ppf-based bounds, and grid construction. Reproduce a parameter combination with long tails, then define completion as avoiding excessive evaluations or grid-creation failures while preserving correct entropy results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100