Optimization on Surrogates with Gaussian Processes
This tutorial shows how to use a korali surrogate as a model for optimization.
train-surrogate.py constructs a Gaussian Process surrogate fronm the given synthetic data and saves it inside the
Second, we load and use the trained surrogate as a function to optimize.
This is done in