BayesianMinimization

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

BayesianMinimization[f,reg] minimizes over the region represented by the region specification reg.

BayesianMinimization[f,sampler] minimizes over configurations obtained by applying the function sampler.

BayesianMinimization[f,{conf1,conf2,…}->nsampler] applies the function nsampler to successively generate configurations starting from the confi.

Examples

Minimize a function using Bayesian optimization:

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

Please visit the official Wolfram Language Reference for more details.