Exact GPs (Regression)

Regression is the canonical example of Gaussian processes. These examples will work for small to medium sized datasets (~1,000 data points). All examples here use exact GP inference.

• Simple GP Regression is the basic tutorial for regression in GPyTorch.

• Fully Bayesian GP Regression demonstrates how to perform fully Bayesian inference by sampling the DMGP parameters using MCMC.