umap-learn
Originally fromk-dense-ai/claude-scientific-skills
Installation
SKILL.md
UMAP-Learn
Overview
UMAP (Uniform Manifold Approximation and Projection) is a dimensionality reduction technique for visualization and general non-linear dimensionality reduction. Apply this skill for fast, scalable embeddings that preserve local and global structure, supervised learning, and clustering preprocessing.
Quick Start
Installation
Current stable release: umap-learn 0.5.12 (released April 2026). Requires Python 3.9+ and depends on scikit-learn>=1.6, numba, pynndescent, numpy, and scipy. Pin to a verified release:
uv pip install umap-learn==0.5.12
Basic Usage
UMAP follows scikit-learn conventions and can be used as a drop-in replacement for t-SNE or PCA.