Deprecated: Use of this version of umap-learn is deprecated. More information on our Applications Support and Retention Policy.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 0.5.3-foss-2022a
To load the module for umap-learn 0.5.3-foss-2022a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load umap-learn/0.5.3-foss-2022a
BEAR Apps Version
- 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
These versions of umap-learn are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
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Last modified on 27th February 2023