umap-learn 0.5.3-foss-2022aUniform 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 0.5.3-foss-2022a
To load the module for umap-learn 0.5.3-foss-2022a please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps/2022a
module load umap-learn/0.5.3-foss-2022a
BEAR Apps Version
The listed architectures consist of two part: 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.
- pynndescent 0.5.7
For more information visit the umap-learn website.
This version of umap-learn has a direct dependency on: foss/2022a LLVM/12.0.1-GCCcore-11.3.0 numba/0.56.4-foss-2022a Python/3.10.4-GCCcore-11.3.0 scikit-learn/1.1.2-foss-2022a SciPy-bundle/2022.05-foss-2022a tqdm/4.64.0-GCCcore-11.3.0
This version of umap-learn is a direct dependent of: scanpy/1.9.1-foss-2022a
Last modified on 27th February 2023