umap for dimension reduction
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- Dominant language
- Rust
- Stars
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Description
Linfa supports pca and tsne now. Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction (https://umap-learn.readthedocs.io/en/latest/). Since UMAP is becoming popular, does linfa support it ?
Contributor guide
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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 Linfa's existing PCA and t-SNE support, then read the linked UMAP documentation to understand the requested capability. Done means defining and implementing UMAP support in Linfa with appropriate validation against the documented behavior; the issue names no specific files or tests.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- rust
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100