scikit-learn¶
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.
https://scikit-learn.org/stable/index.html
Available modules¶
The overview below shows which scikit-learn installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using scikit-learn, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| scikit-learn/1.4.0-gfbf-2023b | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
| scikit-learn/1.3.1-gfbf-2023a | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
scikit-learn/1.4.0-gfbf-2023b¶
This is a list of extensions included in the module:
scikit-learn-1.4.0, sklearn-0.0
scikit-learn/1.3.1-gfbf-2023a¶
This is a list of extensions included in the module:
scikit-learn-1.3.1, sklearn-0.0