umap-learn 0.5.7-foss-2024a

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.

Accessing umap-learn 0.5.7-foss-2024a

To load the module for umap-learn 0.5.7-foss-2024a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2024a
module load umap-learn/0.5.7-foss-2024a

BEAR Apps Version

2024a

Architectures

EL8-emeraldrapids — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

• pynndescent 0.5.13
• umap-learn-0.5.7

More Information

For more information visit the umap-learn website.

Dependencies

This version of umap-learn has a direct dependency on: foss/2024a LLVM/18.1.8-GCCcore-13.3.0 numba/0.60.0-foss-2024a Python/3.12.3-GCCcore-13.3.0 scikit-learn/1.5.2-gfbf-2024a SciPy-bundle/2024.05-gfbf-2024a tqdm/4.66.5-GCCcore-13.3.0

Required By

This version of umap-learn is a direct dependent of: scanpy/1.9.8-foss-2024a

Other Versions

These versions of umap-learn are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 28th November 2025