How do i use my optimized gpr model and neural network to make predictions in app designer using user input data

Hi everyone, I trained an optimizable gpr model in regression learner app and neural network using neural network app. I want to predict two different numerical outputs with same data input from user in app designer. One output by gpr model, one output by ann model. The user enters four different numbers for four parameters. Ann was trained using matrix and gpr trained using table. How do I call both to make predictions in app designer using data input by user

Answer 1

[Drew]

These two answers explain how to make predictions in app designer with models trained in regression learner or classification learner.

• https://www.mathworks.com/matlabcentral/answers/1718885-using-a-trained-regression-model-in-app-designer
• https://www.mathworks.com/matlabcentral/answers/1918505-how-to-make-predictions-with-exported-model-from-classification-learner-in-app-designer

This answer elaborates a bit on matching the input data vector:

• https://www.mathworks.com/matlabcentral/answers/1921165-passing-numerical-and-categorical-data-to-regression-learner-predictfcn-programmatically-in-app-de