[FEA] OPQ Preprocessor
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feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
As an initial step to implementing https://github.com/rapidsai/cuvs/issues/905, we should first implement a standalone OPQ preprocessor to match our other quantization preprocessing APIs.
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 issue #905 and comparing the existing quantization preprocessing APIs in cuVS. Determine the standalone OPQ preprocessor's required interface and behavior from those references; done means it matches the established preprocessing API pattern.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100