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How can I get the equation from Regression Learner App?

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Hi there,
I am using the MATLAB regression learner app and have identified GP Regression Matern 5/2 as the best model. I have exported the model to Matlab and was wondering how I could obtain an equation linking my predictor variables to my response variable. I have attached a screenshot of what is found in the Regression GP workspace.
Many thanks.

Answers (1)

Ayush Gupta
Ayush Gupta on 8 Sep 2020
Edited: Ayush Gupta on 8 Sep 2020
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.
Prince Essemiah
Prince Essemiah on 19 May 2022
Hey Nilanshu,
Please did you manage to find a solution to this problem? If yes, can you share the process.
hi, is there any ways to extract equation from the favorite model? so that we can back calculate for validation

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