lmcinnes / lmcinnes/pynndescent
Query with another index/ graph?
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- Dominant language
- Python
- Stars
- 970
- Forks
- 107
- PR merge metrics
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Description
This is a question/ feature request.
My (cursory) understanding of the NNDescent algorithm makes me think it should be possible to increase query speed for a test set if we already had an index built on it. Is this the case?
If so, would this query be in scope for this project?
```python
# a: NNDescent, b: NNDescent
a.query(b)
```
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 reviewing the NNDescent API and the existing query behavior described in the issue; no file or test entry point is named. Determine whether querying one NNDescent index with another is supported or feasible, then define the expected behavior and tests for a completed feature.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100