tensorflow / tensorflow/probability
Add support for multivariate truncated normal
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distributions/bijectors
help wanted
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Description
For example, this can be used as a reference implementation -- https://github.com/lbelzile/TruncatedNormal
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
No source file, test, or entry point is named in the issue. Start by reviewing the linked TruncatedNormal reference implementation and the repository's existing distribution APIs; clarify the intended multivariate behavior and validation requirements before deciding what “support” includes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100