Gaussian Process Regression based on shogun-toolbox
Demonstration of performing regression with Gaussian Processes in Shogun.
A detailed how-to can be found here.
You can enter your own data points by clicking on the canvas below or you can have some generated for you from the "Toy Data" panel on the right.
You can also experiment with the different arguments to see how they affect the outcome.
Also you can use the maximum likelihood (ML2) button to automagically learn the best hyper-parameters of the GP and plot the outcome.