umap-learn
k-dense-ai1.8k installs
Turn high-dimensional data into useful embeddings.
What it does
Creates low-dimensional embeddings and clustering or predictive-analysis workflows from high-dimensional data.
When to use it
Use for neighborhood-preserving embeddings, supervised learning, and clustering preprocessing.
How to use it
Give it numerical data; it creates code to preprocess the data, fit UMAP embeddings, and visualize them.
What you provide
- Your files
Uses
Good to know
- advertises something the task does not need
Latest review
What you need · 7
Requires Python 3.9 or later.
Requires umap-learn; the installation instructions pin version 0.5.12.
Access · 3
This skill
arXiv
Read
Fetches current publication metadata
umap-learn
Execute
Installs umap-learn and optional extras