[FEA] Dataset On Host For Hierarchical KMeans
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feature request
- Dominant language
- Cuda
- Stars
- 854
- Forks
- 236
- Avg merge
- 3d 3h
- Merged PRs (30d)
- 62
Description
kmeans::build_hierarchical (balanced kmeans) should support out of core data
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 locating the kmeans::build_hierarchical entry point and its existing data-loading and test paths. Determine how hierarchical KMeans currently handles input data and define what out-of-core, host-resident support should cover. Done means the operation supports the requested host data without requiring the full dataset in device memory, with tests demonstrating that behavior.
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
- 20/100