You've trained a machine learning model and want to tune its hyperparameters. Each evaluation takes hours. You've tested 6 configurations so far. Where should you try next?

If you read our hyperparameter optimisation post, you saw Bayesian optimisation solve exactly this problem. The secret weapon behind it is a Gaussian process (GP) — a model...