scikit-learn-extra 0.3.0-gfbf-2023a

scikit-learn-extra is a Python module for machine learning that extends scikit-learn. It includes algorithms that are useful but do not satisfy the scikit-learn inclusion criteria, for instance due to their novelty or lower citation number.

Accessing scikit-learn-extra 0.3.0-gfbf-2023a

To load the module for scikit-learn-extra 0.3.0-gfbf-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load scikit-learn-extra/0.3.0-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

• scikit-learn-extra-0.3.0

More Information

For more information visit the scikit-learn-extra website.

Dependencies

This version of scikit-learn-extra has a direct dependency on: gfbf/2023a Python/3.11.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 scikit-learn/1.4.2-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a

Last modified on 20th November 2025