pymc-devs / pymc-devs/pytensor
Sparsity support in pytensor
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- Dominant language
- Python
- Stars
- 644
- Forks
- 208
- Avg merge
- 2d 14h
- Merged PRs (30d)
- 16
Description
Description
I'm investing implementing ALS in pytensor which is usually implemented with sparsity constructs (see implicit for reference). I quickly looked around and saw this older thread where someone asked for sparsity support. @jessegrabowski gave a first pass answer, but mentioned the support is subpar. Opening this to track any enhancements we could bring.
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 reading the linked implicit ALS API reference and the PyMC discourse thread, then review PyTensor's current sparsity support. The issue does not name files, tests, or an entry point, so first define which sparsity enhancements are required for ALS and how support will be validated.
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