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pyGPGO: Bayesian Optimization for Python

Published in The Journal of Open Source Software • Nov 2, 2017
Authors:
José Jiménez-Luna
,
Josep Ginebra

Abstract

Bayesian optimization has risen over the last few years as a very attractive method to optimize expensive to evaluate, black box, derivative-free and possibly noisy functions This framework uses surrogate models, such as the likes of a Gaussian Process (Rasmussen and Williams 2004) which describe a ...

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