umap-learn¶

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction.

homepage: https://umap-learn.readthedocs.io/en/latest/

Available installations¶

umap-learn version	Supported CPU targets	Supported GPU targets	EESSI version	Module
0.5.5	`generic`: `aarch64`, `x86_64` Arm: `a64fx`, `neoverse_n1`, `neoverse_v1`, `nvidia/grace` AMD: `zen2`, `zen3`, `zen4` Intel: `haswell`, `skylake_avx512`, `sapphirerapids`, `icelake`, `cascadelake`	(none)	2023.06	`umap-learn/0.5.5-foss-2023a`

Extensions¶

Overview of extensions included in umap-learn installations

pynndescent¶

`pynndescent` version	umap-learn modules that include it
0.5.11	`umap-learn/0.5.5-foss-2023a`

umap-learn¶

`umap-learn` version	umap-learn modules that include it
0.5.5	`umap-learn/0.5.5-foss-2023a`