[FEA] K-means to support uint8/int8 type
Open
Nobody has claimed this yet.
feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
It's important that we support growing data scales both with out-of-core and by supporting lower-precision types. If done correctly, the lower precision types can also result in perf improvements due to the ability to vectorize loads from memory and perform fused arithmetic.
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
The issue does not name files, tests, or an entry point. Start by locating the K-means implementation and its existing supported data types; done means K-means supports uint8 and int8 as described while preserving the relevant behavior and performance goals.
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