pyGAM 0.9.1-gfbf-2023a

pyGAM is a package for building Generalized Additive Models in Python, with an emphasis on modularity and performance. The API will be immediately familiar to anyone with experience of scikit-learn or scipy.

Accessing pyGAM 0.9.1-gfbf-2023a

To load the module for pyGAM 0.9.1-gfbf-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load pyGAM/0.9.1-gfbf-2023a

BEAR Apps Version

2023a

Architectures

EL8-emeraldrapids — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two parts: 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

• dunamai 1.19.2
• poetry-dynamic-versioning-1.2.0
• progressbar2 4.4.2
• pygam 0.9.1
• python-utils-3.8.2

More Information

For more information visit the pyGAM website.

Dependencies

This version of pyGAM has a direct dependency on: gfbf/2023a Python/3.11.3-GCCcore-12.3.0 SciPy-bundle/2023.07-gfbf-2023a

Last modified on 21st May 2026