Software Resources

Abstract

This chapter is aimed to introduce frameworks developed in the Bayesian optimization (BO) community describing many aspects of these tools, where it is possible to retrieve the tool, in which language and version are available. Section 6.1 is devoted to open source software, while industrial BO as a service solutions are analysed in 6.2. Section 6.3 is devoted to BO solutions specifically developed for hyperparameters optimization of machine learning algorithms. Section 6.4 presents relevant sources for test problems, both in terms of test functions and generators. Finally, Sect. 6.5 reports some relevant non-Bayesian global optimization software. The software in this section refers, basically, to the box-constrained case, with the exception of Predictive Entropy Search with Constraints (PESC) which is included in the open source package Spearmint (https://github.com/HIPS/Spearmint/tree/PESC).