BayesianMaximization

BayesianMaximization[f, {conf1, conf2, ...}] gives an object representing the result of Bayesian maximization over the function f over the configurations confi.

BayesianMaximization[f, reg] maximizes over the region represented by the region specification reg.

BayesianMaximization[f, sampler] maximizes over configurations obtained by applying the function sampler.

Examples

Maximize a function using Bayesian optimization:

BayesianMaximization[-((#x - 2)^2 + (#y - 3)^2) &, {"x" -> {-5, 5}, "y" -> {-5, 5}}]

Please visit the official Wolfram Language Reference for more details.