imbalanced-learn 0.4.3-fosscuda-2018b-Python-3.6.6

imbalanced-learn is a Python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance.

Accessing imbalanced-learn 0.4.3-fosscuda-2018b-Python-3.6.6

To load the module for imbalanced-learn 0.4.3-fosscuda-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load imbalanced-learn/0.4.3-fosscuda-2018b-Python-3.6.6

BEAR Apps Version

2020a

More Information

For more information visit the imbalanced-learn website.

Dependencies

This version of imbalanced-learn has a direct dependency on: fosscuda/2018b Python/3.6.6-fosscuda-2018b scikit-learn/0.20.0-fosscuda-2018b-Python-3.6.6

Last modified on 12th August 2019