The Gaussian Process Model is equivalent to the following:
P(y|f,X)~N(y|Hβ+f,σ^2.I) Please refer to the documentation of Gaussian Process Regression Models below:
The example code files are attached to this article.
In order to see the prediction formula, you would need to collect the parameters and plug them into the equation.
The function "predictWithEquation" in the attachment "fitrgp_equation.m" could be used to accomplish this.
The following would be the prediction formula:
ypred = HFcn(XnewStd)*betaHat + KXnewXA*alphaHat;
The function "predictWithEquation" can also be used for predicting values by feeding in new data. Please look at "fitrgp_equation" in "fitrgp_equation.m" as an example.
