tensorflow / tensorflow/probability
Add bounding box constraints to L-BFGS optimizer
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enhancement
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Description
Is there a way to define bounds for the tfp.optimizer.lbfgs_minimize similar to the scipy implementation of lbfgs?
Thanks.
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 with the tfp.optimizer.lbfgs_minimize entry point and compare its bounds behavior with the scipy L-BFGS implementation referenced in the issue. Determine the intended bounds API and verify that constrained optimization works before considering the issue done.
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
- 20/100