Parallel BO
- Dominant language
- Python
- Stars
- 495
- Forks
- 129
- PR merge metrics
- No merged PRs in 30d
Description
Hello,
How can I run this code so it includes parallel evaluations? Specifically, the paper Bayesian Optimization with Robust Bayesian Neural Networks claims to have parallel evaluations (in section 3) but I don't see that implemented here. I would like to be able to run such that at each iteration, it draws multiple hyperparameters assignments.
If this isn't implemented, is there a better package for parallel BO?
Thanks.
Contributor guide
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Research direction
Start by reviewing the repository's Bayesian optimization entry points and comparing their behavior with section 3 of the cited paper. Determine whether parallel evaluations already have an entry point; if not, define how each iteration should submit and handle multiple hyperparameter assignments. Done means the documented run produces multiple evaluations per iteration, with validation covering that behavior.
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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