umap-learn¶
Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction techniquethat can be used for visualisation similarly to t-SNE, but also for general non-lineardimension reduction.
https://umap-learn.readthedocs.io/en/latest/
Available modules¶
The overview below shows which umap-learn installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using umap-learn, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| umap-learn/0.5.5-foss-2023a | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
umap-learn/0.5.5-foss-2023a¶
This is a list of extensions included in the module:
pynndescent-0.5.11, umap-learn-0.5.5