scikit-learn 1.3.1-gfbf-2023a

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 1.3.1-gfbf-2023a

To load the module for scikit-learn 1.3.1-gfbf-2023a please use this command on Baskerville:

📋 module load bask-apps/live
module load scikit-learn/1.3.1-gfbf-2023a

Bask Apps Env

live

Extensions

• scikit-learn-1.3.1
• 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/2023a Python/3.11.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 SciPy-bundle/2023.07-gfbf-2023a

Required By

This version of scikit-learn is a direct dependent of: DynaMight/0.0.0.20240319.eef4aa6-foss-2023a-CUDA-12.1.1 librosa/0.10.1-foss-2023a NLTK/3.8.1-foss-2023a PyTorch-Geometric/2.5.0-foss-2023a-PyTorch-2.1.2-CUDA-12.1.1 topaz/0.2.5.20231120-foss-2023a-CUDA-12.1.1 umap-learn/0.5.5-foss-2023a

Other Versions

These versions of scikit-learn are available on Baskerville. These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 27th September 2024