BEAR Applications

imbalanced-learn

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

More Information

For more information visit the imbalanced-learn website.

Available Versions

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