Fig. illustrates a GP model of a toy function f (x), based on an RBF kernel, over a toy one-dimensional NPM feature space X = R, trained on five observations. The mean in the GP, ŷ (x), approximates f (x), and the variance σ 2 (x) expresses uncertainty in the approximation. Generally, the uncertainty is small close to an observation and large when far from an observation.