Contributors
Credits
We would like to thank all the developers and researchers who made their software available open-source.
Contributing
To add more algorithms, datasets or other functionalities fork the repository https://github.com/felixleopoldo/benchpress. For new feature ideas, problems, bug reporting, or questions please raise an issue or start a discussion there. If you prefer, you can also send an email to felix leopoldo rios at gmail dot com.
Citing
BibTeX entry for citing Benchpress:
@misc{rios2021benchpress,
title={Benchpress: a scalable and versatile workflow for benchmarking structure learning algorithms for graphical models},
author={Felix L. Rios and Giusi Moffa and Jack Kuipers},
year={2021},
eprint={2107.03863},
archivePrefix={arXiv},
primaryClass={stat.ML}
}