Support Vector Machine Regression (fitrsvm). How to estimate "b" and Gram matrix

I ran "fitrsvm" support vector machine regression. The regression converged with "polynomial" as "KernelFunction". The input data is [30x5] matrix. Some of the coefficients: Box Constraints-1 Epsilon 0.024395848776872 Bias 1.778701572977303 Need to know how to calculate this gramian matrix.(G(xn,x)). What is Xn and X stands for. Also how to calculate "b"

Please help

Answer 1

[the cyclist]

If you defined your model object as

mdl = fitrsvm(...)

then I think the slope coefficients are in

mdl.Beta

and the bias (constant term) is

mdl.Bias

[Md Mahmud]

Thank you very much. I have the coefficients after running the regression. However, I am looking for code which will display the regression equation e.g. y~a0+a1*X1^n+a2*X2^p+.....

[the cyclist]

You should be able to use

Y = predict(mdl,X)

to get the model's predicted Y values at values of X, and then plot those.