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/2022a
module load scikit-learn/1.1.2-foss-2022a
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- sklearn 0.0
For more information visit the scikit-learn website.
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
Last modified on 23rd January 2023