There is a newer version of scikit-learnScikit-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 0.23.2-foss-2020b
To load the module for scikit-learn 0.23.2-foss-2020b please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load scikit-learn/0.23.2-foss-2020b
There is a GPU enabled version of this module: scikit-learn 0.23.2-fosscuda-2020b
BEAR Apps Version
For more information visit the scikit-learn website.
This version of scikit-learn has a direct dependency on: foss/2020b Python/3.8.6-GCCcore-10.2.0 SciPy-bundle/2020.11-foss-2020b
This version of scikit-learn is a direct dependent of: Compass/20220402-foss-2020b cryoDRGN/0.3.5-foss-2020b geopandas/0.9.0-foss-2020b hyperopt/0.2.5-foss-2020b iterative-Random-Forest/0.2.5-foss-2020b mofapy2/0.5.7-foss-2020b nevergrad/0.4.3.post4-foss-2020b Topaz/0.2.4-foss-2020b-PyTorch-1.7.1 TumorDecon/1.1.1-foss-2020b umap-learn/0.4.6-foss-2020b
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 15th April 2021