[FEA] BSDG: Add grid search algorithm for suggesting good configs
Open
Nobody has claimed this yet.
feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
BSDG (Billion Scale Data Generator)
Add a grid search algorithm across {PPC, ncomp, SF} given a user side data sample and their vector index.
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
No file, test, or entry point is named. Begin by locating the BSDG implementation and its configuration handling, then trace how the user-side data sample and vector index are supplied. Done means the issue's grid search covers PPC, ncomp, and SF and suggests good configurations.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning, search
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100