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Hierarchical-imblearn

The Hierarchical Imbalanced Learning Library

This library was implemented in Python only works in datasets in the hierarchical ARFF format.

Resampling Algorithms

The following resampling algorithms were implemented in the hierarchical-imblearn:

  • Under evaluation...
  • Under evaluation...
  • Under evaluation...

Examples of use

The file .... contains codes samples explaining how to use all resampling algorithms implemented. You can also access all the hierarchical datasets used in the experiments in the following website: https://sites.google.com/view/hierarchical-imblearn/

Cite

If you used hierarchical-imblearn in your research or project, please cite our work:

  • Under evaluation...

Contributing

This project is open for contributions. Here are some of the ways for you to contribute:

  • Bug reports/fix
  • Features requests
  • Use-case demonstrations
  • Documentation updates

To make a contribution, just fork this repository, push the changes in your fork, open up an issue, and make a Pull Request!

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