To create the equation modeled in Gaussian regression from RegressionLearner toolbox for multiple many (4 or above) variables

Is there any way to create the equation modeled in Gaussian regression from the RegressionLearner toolbox for multiple many (4 or above) variables?

For example, there are the column vectors of at least 1000 data of 6 different types (variables) which these parameters, called "q, E, w, x, σ, Lia", represent each column vector and each variable.

Using these columns, I created the regression model in the RegressionLearner toolbox via Gaussian Process Regression and Support Vector Machines. The model's equation seems to nonlinear, exponential, or polynomial (in other says, it's simple multiple regression for 4 or more variables).

What's the way to obtain the equation from the RegressionLearner toolbox for the created regression model predictfunc?

Here is my aim: To generate an equation: f(q, E, w, x, σ, Lia)=output, and to be shown this mathematical model as an exponential, power, or nonlinear.

[Nayab]

@Jaja Tawama Rodriguez

Hello Sir,

Did you find the solution to your problem?