scikit-learn 1.5.2-gfbf-2024a
Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.Accessing scikit-learn 1.5.2-gfbf-2024a
To load the module for scikit-learn 1.5.2-gfbf-2024a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2024a
module load scikit-learn/1.5.2-gfbf-2024a
BEAR Apps Version
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-1.5.2
- sklearn 0.0
More Information
For more information visit the scikit-learn website.
Dependencies
This version of scikit-learn has a direct dependency on: gfbf/2024a Python/3.12.3-GCCcore-13.3.0 Python-bundle-PyPI/2024.06-GCCcore-13.3.0 SciPy-bundle/2024.05-gfbf-2024a
Required By
This version of scikit-learn is a direct dependent of: ULaMDyn/1.1.1-foss-2024a
Other Versions
These versions of scikit-learn 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 18th July 2025