umap-learn 0.4.6-fosscuda-2020b

There is a newer version of 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.

Accessing umap-learn 0.4.6-fosscuda-2020b

To load the module for umap-learn 0.4.6-fosscuda-2020b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load umap-learn/0.4.6-fosscuda-2020b

There is a CPU version of this module: umap-learn 0.4.6-foss-2020b

BEAR Apps Version

2019a

More Information

For more information visit the umap-learn website.

Dependencies

This version of umap-learn has a direct dependency on: fosscuda/2020b numba/0.52.0-fosscuda-2020b Python/3.8.6-GCCcore-10.2.0 scikit-learn/0.23.2-fosscuda-2020b SciPy-bundle/2020.11-fosscuda-2020b

Required By

This version of umap-learn is a direct dependent of: cell2location/0.05-alpha-fosscuda-2020b

Other Versions

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

Version BEAR Apps Version
0.5.3-foss-2022a 2022a
0.4.6-foss-2020b 2020b

Last modified on 28th July 2021