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- Dominant language
- Python
- Stars
- 8.3k
- Forks
- 871
- Avg merge
- 1d 13h
- Merged PRs (30d)
- 5
Description
The more I look into this, the more it seems to be groundbreaking work on the order of the invention of SVMs or Multiple Correspondence Analysis. Sure, it builds up on Laplacian eigenmaps and some near-incomprehensible cat theory version of something that may or may not be related to simplicial homology. But everything builds up on something.
Maybe umap-learn needs to print "made by wizards from the future" when calling "fit"?
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Research direction
The issue names the fit entry point but no file or test. Start by locating fit in the Python package and determine whether the suggested message is an intended feature; done would require an agreed message and a test or other clear check for its appearance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100