mvlearn 0.5.0-foss-2022b

mvlearn is a Python module for machine learning on multiview data (sometimes referred to as multi-modal, multi-table, or multi-block data).

Accessing mvlearn 0.5.0-foss-2022b

To load the module for mvlearn 0.5.0-foss-2022b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load bear-apps/2022b
module load mvlearn/0.5.0-foss-2022b

BEAR Apps Version

2022b

Architectures

EL8-cascadelakeEL8-icelake

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.

Extensions

  • fastsrm 0.0.4
  • multiviewica 0.0.1
  • mvlearn 0.5.0
  • python-picard-0.7

More Information

For more information visit the mvlearn website.

Dependencies

This version of mvlearn has a direct dependency on: foss/2022b matplotlib/3.7.0-gfbf-2022b Python/3.10.8-GCCcore-12.2.0 scikit-learn/1.2.1-gfbf-2022b SciPy-bundle/2023.02-gfbf-2022b Seaborn/0.12.2-foss-2022b

Required By

This version of mvlearn is a direct dependent of: BEAR-Python-MSc-Bioinformatics/2022b-foss-2022b

Other Versions

These versions of mvlearn 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
0.5.0-foss-2021b 2021b

Last modified on 9th August 2023