What AI says about BayesianOptimization

BayesianOptimization is a Python implementation of global optimization with Gaussian processes. It uses Gaussian process models to optimize black-box objective functions by selecting new evaluation points via acquisition functions. The project is open-source under the MIT license on GitHub.