[FEA] Example notebook for automated tuning with cuVS and Optuna
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feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
We wrote this notebook already for our XLAB at GTC. We should port that notebook (among others) for inclusion in cuVS.
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
The issue does not name the existing XLAB/GTC notebook or a destination path in cuVS. First locate the source notebook and the repository's notebook examples, then determine the required inclusion format; done means the automated-tuning example is included in cuVS and runs successfully.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100