NVIDIA / NVIDIA/cuvs

[FEA] CAGRA to support Jaccard distance

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feature request
Dominant language
Cuda
Stars
854
Forks
236
Avg merge
3d 3h
Merged PRs (30d)
62

Description

Oracle is requesting this, but it's also a popular distance metric, and can use the dot product with an expansion function so we should consider exposing it.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating CAGRA's distance-metric handling and reviewing how existing metrics are exposed. Determine the scope needed to support Jaccard distance, including its relationship to the dot-product expansion described in the issue; done means CAGRA exposes and handles this metric consistently.

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

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