SimpleITK 1.2.4-foss-2019b-Python-3.7.4imbalanced-learn is a Python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance.
Accessing SimpleITK 1.2.4-foss-2019b-Python-3.7.4
To load the module for SimpleITK 1.2.4-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load SimpleITK/1.2.4-foss-2019b-Python-3.7.4
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 Cloud and CaStLeS 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.
For more information visit the SimpleITK website.
This version of SimpleITK is a direct dependent of: MedPy/0.4.0-foss-2019b-Python-3.7.4
Last modified on 20th January 2020