Gaussian Process Regression based on shogun-toolbox
Demonstration of performing regression with Gaussian Processes in Shogun.
A detailed how-to can be found in the GP notebook .
You can enter your own data points by left clicking on the canvas below or have some generated for you from the "Toy Data" panel on the right.
Use the learn parameters dropdown to automagically learn the best hyper-parameters of the GP using maximum likelihood (ML2).
You can set inducing points for FITCInferenceMethod by right clicking on the canvas.