Source: imbalanced-learn Maintainer: Debian Med Packaging Team Uploaders: Aggelos Avgerinos , Christian Kastner Section: science Priority: optional Build-Depends: debhelper-compat (= 13), dh-python, python3, python3-coverage, python3-doc, python3-joblib, python3-matplotlib, python3-nose, python3-numpy, python3-pytest (>= 7.1.2), python3-pytest-doctestplus, python3-scipy, python3-setuptools, python3-sklearn (>= 1.0.1), python3-threadpoolctl Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/med-team/imbalanced-learn Vcs-Git: https://salsa.debian.org/med-team/imbalanced-learn.git Homepage: https://github.com/scikit-learn-contrib/imbalanced-learn Rules-Requires-Root: no Package: python3-imblearn Architecture: all Section: python Depends: python3-joblib, python3-numpy, python3-scipy, python3-sklearn (>= 1.0.1), python3-threadpoolctl, ${misc:Depends}, ${python3:Depends} Description: library providing resampling techniques imbalanced-learn is a Python package offering a number of re-sampling techniques commonly used in datasets showing strong between-class imbalance. . It is compatible with scikit-learn and is part of scikit-learn-contrib projects.