lmcinnes / lmcinnes/pynndescent
sklearn-intelex integration?
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- Dominant language
- Python
- Stars
- 970
- Forks
- 107
- PR merge metrics
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Description
Hi, I've seen this work by Intel: https://github.com/intel/scikit-learn-intelex and curious if anyone has looked into how it may compare / if it can be used as a speed up in nndescent / associated tools (UMAP/etc)? There is an example notebook here showing the speedup on a toy example: https://www.kaggle.com/kppetrov/fast-knn-using-scikit-learn-intelex-for-mnist - i believe there are also additional hooks for GPU methods: https://intel.github.io/scikit-learn-intelex/gpu.html
Contributor guide
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Research direction
The issue names no repository files or tests. Start by reviewing the linked scikit-learn-intelex project and its example notebook, then inspect pynndescent's nearest-neighbor implementation and associated UMAP tooling to assess applicability. Done is not defined; the scope and acceptance criteria would need to be agreed before implementation.
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Assessment
- Tech stack
- python
- Domain
- machine-learning, performance
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100