scikit-learn 1.0.1-foss-2021b

There is a newer install 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 and BEAR Cloud VMs):

📋 module load bear-apps/2021b module load scikit-learn/1.0.1-foss-2021b

BEAR Apps Version

2021b

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

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-connectivity/0.5.0-foss-2021b MNE-Python/1.1.1-foss-2021b mofapy2/0.6.7-foss-2021b mofapy2/0.7.0-foss-2021b mvlearn/0.5.0-foss-2021b NLTK/3.7-foss-2021b Optuna/2.10.0-foss-2021b panaroo/1.3.2-foss-2021b PHATE/1.0.10-foss-2021b pingouin/0.5.3-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 SSAM/1.0.2-foss-2021b TOBIAS/0.13.3-foss-2021b

Other Versions

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

Version	BEAR Apps Version
1.4.2-gfbf-2023a	2023a
1.3.1-gfbf-2023a	2023a
1.2.1-gfbf-2022b	2022b
1.1.2-foss-2022a	2022a
0.24.2-foss-2021a	2021a
0.23.2-fosscuda-2020b	2020b
0.23.2-foss-2020b	2020b
0.23.2-foss-2020a-Python-3.8.2	2020a
0.21.3-foss-2019b-Python-3.7.4	2019b
0.21.3-foss-2019a-Python-3.7.2	2019a
0.20.4-foss-2019b-Python-2.7.16	2019b
0.20.3-foss-2019a	2019a
0.20.0-foss-2018b-Python-3.6.6	2018b
0.20.0-foss-2018b-Python-2.7.15	2018b

Last modified on 12th July 2022