patrick-kidger / patrick-kidger/optimistix
Parallel multi start
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question
- Dominant language
- Python
- Stars
- 623
- Forks
- 54
- PR merge metrics
- No merged PRs in 30d
Description
Hello,
first of all i wanted to say that this is a really nice library. Then i wanted to ask if it is possible to do with filter_vmap something like a parallel multi start optimization. Meaning that if i want to run the minimization from different starting parameter guesses, can this be parallelized?
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 filter_vmap entry point and the minimization API to understand how multiple starting parameter guesses are represented. Determine whether parallel multi-start optimization is supported, what behavior is expected, and what documentation or tests would demonstrate completion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100