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conda-forge / packages / imbalanced-learn 0.13.0

Python module to balance data set using under- and over-sampling

copied from cf-staging / imbalanced-learn

Installers

Info: This package contains files in non-standard labels.
  • noarch v0.13.0

conda install

To install this package run one of the following:
conda install conda-forge::imbalanced-learn
conda install conda-forge/label/cf201901::imbalanced-learn
conda install conda-forge/label/cf202003::imbalanced-learn
conda install conda-forge/label/gcc7::imbalanced-learn

Description

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.

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