Randomized SVD
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- rust
- Domain
- machine-learning
Research direction
Start by reading the linked discussion at classical-ml-discussion/issues/1 and the Randomized SVD algorithm paper at arxiv.org/abs/0909.4061v2. Then determine how the algorithm should fit into ndarray-linalg and what tests are needed; done means the requested Randomized SVD functionality is implemented and verified.
Written by the indexing model from the issue text.
Description
- Dominant language
- Rust
- Stars
- 452
- Forks
- 95
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
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.
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