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Sherpa: Robust Hyperparameter Optimization for Machine Learning

Sherpa is a hyperparameter optimization library for machine learning models. It is specifically designed for problems with computationally expensive, iterative function evaluations, such as the hyperparameter tuning of deep neural networks.

Data and Resources

Cite this as

Lars Hertela, Julian Collado, Peter Sadowski, Jordan Ott, Pierre Baldi (2024). Dataset: Sherpa: Robust Hyperparameter Optimization for Machine Learning. https://doi.org/10.57702/191btk3v

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2005.04048
Author Lars Hertela
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Julian Collado
Peter Sadowski
Jordan Ott
Pierre Baldi
Homepage https://github.com/sherpa-ai/sherpa