scikit-learn 1.0.1-foss-2021b

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 1.0.1-foss-2021b

To load the module for scikit-learn 1.0.1-foss-2021b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):

module load scikit-learn/1.0.1-foss-2021b

BEAR Apps Version

2019a

Extensions

  • scikit-learn-1.0.1
  • sklearn 0.0

More Information

For more information visit the scikit-learn website.

Dependencies

This version of scikit-learn has a direct dependency on: foss/2021b Python/3.9.6-GCCcore-11.2.0 SciPy-bundle/2021.10-foss-2021b

Required By

This version of scikit-learn is a direct dependent of: BEAR-Python-MSc-Bioinformatics/2021b-foss-2021b BioServices/1.10.1-foss-2021b canopus_treemap/0.0.1-foss-2021b CIRI-long/1.1.0-foss-2021b DeepCell/0.11.1-foss-2021b-CUDA-11.4.1 HDBSCAN/0.8.29-foss-2021b lightkurve/2.3.0-foss-2021b MetaboLabPy/0.8.4-foss-2021b mlxtend/0.19.0-foss-2021b MNE-Python/1.1.1-foss-2021b NLTK/3.7-foss-2021b Optuna/2.10.0-foss-2021b panaroo/1.3.2-foss-2021b scanpy/1.8.2-foss-2021b scanpy/1.9.1-foss-2021b scCODA/0.1.8-foss-2021b scikit-bio/0.5.7-foss-2021b scikit-plot/0.3.7-foss-2021b spektral/1.1.0-foss-2021b-CUDA-11.4.1 TOBIAS/0.13.3-foss-2021b

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 12th July 2022