Hello everyone,
I am trying to calculate output (Y) for new input data (X) using a pretrained SVM (trained with kernel function RBF or polynomial).

I know the equations for linear SVM regression:
ex) Y = inputdata * Beta + Bias

However, I am trying to find the equations to calculate the Y response under ‘RBF’ or ‘Polynomial’ SVM regression.

Please help
Thank you.Hello everyone,
I am trying to calculate output (Y) for new input data (X) using a pretrained SVM (trained with kernel function RBF or polynomial).

I know the equations for linear SVM regression:
ex) Y = inputdata * Beta + Bias

However, I am trying to find the equations to calculate the Y response under ‘RBF’ or ‘Polynomial’ SVM regression.

Please help
Thank you. Hello everyone,
I am trying to calculate output (Y) for new input data (X) using a pretrained SVM (trained with kernel function RBF or polynomial).

I know the equations for linear SVM regression:
ex) Y = inputdata * Beta + Bias

However, I am trying to find the equations to calculate the Y response under ‘RBF’ or ‘Polynomial’ SVM regression.

Please help
Thank you. svm, rbf, polynomial, regression MATLAB Answers — New Questions

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