Contributing

Each of us can make a difference ❤️

There are many ways you can contribute to the AutoML benchmark - and many don’t even require any coding! We value contributions equally. No matter which way you contribute, you make using AMLB a better experience for everyone. Here are some ways you can help out:

Citing AMLB

When referring to the benchmark please cite

@article{JMLR:v25:22-0493,
author = {Pieter Gijsbers and Marcos L. P. Bueno and Stefan Coors and Erin LeDell and S{{\'e}}bastien Poirier and Janek Thomas and Bernd Bischl and Joaquin Vanschoren},
title = {AMLB: an AutoML Benchmark},
journal = {Journal of Machine Learning Research},
year = {2024},
volume = {25},
number = {101},
pages = {1--65},
url = {http://jmlr.org/papers/v25/22-0493.html}
}