Hyperparameter Optimization (HPO) algorithms are widely applied in automated machine learning (AutoML) frameworks. However, HPO approaches are still not widely applied as they could in practice. Our HPO Best Practice paper provides practical advice on how to perform HPO efficiently and the strengths and limitations of different HPO methods.
- Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, and Marius Lindauer
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges
In: Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 13(2), [e1484]. doi.org/10.1002/widm.1484