[FEA] Implement L-BFGS-B solver from scipy.optimize
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feature request
inactive-30d
inactive-90d
- Dominant language
- Cuda
- Stars
- 1k
- Forks
- 251
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 31
Description
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Contributor guide
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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 comparing the requested L-BFGS-B solver with scipy.optimize and the repository's existing solver implementations. The issue provides no files or tests, so identify the relevant CUDA solver entry points and establish tests that verify equivalent bounded optimization behavior before considering the work complete.
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
- 15/100