check MatrixNormal distribution
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- Dominant language
- Python
- Stars
- 1k
- Forks
- 114
- Avg merge
- 19h 14m
- Merged PRs (30d)
- 1
Description
Check the efficiency of the current implementation of the MatrixNormalPrecision class using the Kronecker product,
and improve it if possible.
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
Locate the MatrixNormalPrecision class and inspect how its current implementation uses the Kronecker product. Measure or otherwise assess its efficiency before deciding whether an improvement is possible. Done means the current approach has been evaluated and any worthwhile efficiency improvement is implemented.
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
- 25/100