pymc-devs / pymc-devs/pytensor-ml
Implement LBFGS optimizer
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 9
- Forks
- 7
- Avg merge
- 6h 55m
- Merged PRs (30d)
- 40
Description
Quasi-Newton with line search, see torch.optim.LBFGS — needs multi-evaluation stepping the current transform spine doesn't support.
Contributor guide
No contributing guide indexed for this repository
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 torch.optim.LBFGS documentation and inspecting the current transform spine. Determine how multi-evaluation stepping and line search can fit the existing design; done means an LBFGS optimizer is implemented with the required stepping behavior and validation against the reference semantics.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100