umap-learn
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
86
2.13x
Quality
80%
Does it follow best practices?
Impact
98%
2.13xAverage score across 3 eval scenarios
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Passed
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Eval run
019cb42e-5505-75ab-ad9a-5b99fffb13a1
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- Repository
- wu-yc/LabClaw
- Commit
df37802
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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