Bayesian Optimization

The bayesian-optimization library provides a Python implementation of the Bayesian Optimization (BO) algorithm, specifically designed for constrained global optimization of expensive black-box functions. It leverages Bayesian inference and Gaussian processes to efficiently find the maximum value of an unknown function with minimal evaluations. The current version is 3.2.1, and the project is actively maintained with a regular release cadence, requiring Python >=3.9.