scikit-learn 1.1.2-foss-2022a

Unsupported: Use of this version of scikit-learn is not supported. More information on our Applications Support and Retention Policy.

There is a newer version of 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.

Accessing scikit-learn 1.1.2-foss-2022a

To load the module for scikit-learn 1.1.2-foss-2022a please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load bear-apps-unsupported/handbuilt/2019
module load scikit-learn/1.1.2-foss-2022a

BEAR Apps Version



  • scikit-learn-1.1.2
  • sklearn 0.0

More Information

For more information visit the scikit-learn website.


This version of scikit-learn has a direct dependency on: foss/2022a Python/3.10.4-GCCcore-11.3.0 SciPy-bundle/2022.05-foss-2022a

Required By

This version of scikit-learn is a direct dependent of: MNE-Python/1.3.1-foss-2022a mne-rsa/0.8-foss-2022a NLTK/3.8-foss-2022a ont-remora/2.0.0-foss-2022a ont-remora/2.0.0-foss-2022a-CUDA-11.7.0 pyseer/1.3.11-foss-2022a scanpy/1.9.1-foss-2022a scvi-tools/0.20.1-foss-2022a scvi-tools/0.20.1-foss-2022a-CUDA-11.7.0 SHAP/0.41.0-foss-2022a sklearn-pandas/2.2.0-foss-2022a umap-learn/0.5.3-foss-2022a

Other Versions

These versions of scikit-learn are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 23rd January 2023