Nilearn 0.10.3-gfbf-2022b

Nilearn is a Python module for fast and easy statistical learning on NeuroImaging data.

Accessing Nilearn 0.10.3-gfbf-2022b

To load the module for Nilearn 0.10.3-gfbf-2022b please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b
module load Nilearn/0.10.3-gfbf-2022b

BEAR Apps Version

2022b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

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

• nilearn 0.10.3

More Information

For more information visit the Nilearn website.

Dependencies

This version of Nilearn has a direct dependency on: gfbf/2022b lxml/4.9.2-GCCcore-12.2.0 NiBabel/5.2.0-gfbf-2022b Python/3.10.8-GCCcore-12.2.0 scikit-learn/1.2.1-gfbf-2022b SciPy-bundle/2023.02-gfbf-2022b

Required By

This version of Nilearn is a direct dependent of: MNE-Python/1.6.1-foss-2022b

Other Versions

These versions of Nilearn 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 16th February 2024