Distribution Checklist and Progress
Open
Nobody has claimed this yet.
enhancement
help wanted
- Dominant language
- Python
- Stars
- 48
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
- Bernoulli
- beta
- categorical
- categorical uniform
- clipped
- deterministic
- dirichlet
- distribution
- epsilon greedy
- gamma
- greedy
- gumbel
- independent
- joint
- Laplace
- log stddev normal
- logistic
- mixture of two
- mixture same family
- multinomial
- mvn_diag
- mvn diag plus low rank
- mvn from bijector
- mvn full covariance
- mvn tri
- normal
- one hot categorical
- quantized
- softmax
- straight through
- transformed
- uniform
- von mises
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 reviewing the unchecked distribution entries against the repository's existing distribution and bijector implementations. The checklist in this issue is the only stated scope; work is complete when the relevant unchecked items are implemented and their checklist status can be updated.
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