Gaussian Processes and Bayesian Optimization
A Python implementation of the Gaussian Processes framework with Bayesian Optimization. Fit noiseless or noisy data and use existing or custom kernels. Bayesian optimization module using existing acquisition functions (μ+kσ, PI) or custom.