Artificial Intelligence, Machine Learning, Data Science.
predicting. GP is a generative model. It generates functions (samples) that fit the observations, and our belief on how data are related and what is their expected value (mean). In a GP regression, it predicts a normal distribution for y* given x*, i.e. the probability density function for f(x*).