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I searched for how to find feature weights and found this stackoverflow answerstackoverflow answer. It gives the following equation to get the weights:

w = t(model$coefs) %*% model$SV

The answer mentions that the method is for SVM with linear kernel. Can I use the same equation for radial? Why or Why not?

I searched for how to find feature weights and found this stackoverflow answer. It gives the following equation to get the weights:

w = t(model$coefs) %*% model$SV

The answer mentions that the method is for SVM with linear kernel. Can I use the same equation for radial? Why or Why not?

I searched for how to find feature weights and found this stackoverflow answer. It gives the following equation to get the weights:

w = t(model$coefs) %*% model$SV

The answer mentions that the method is for SVM with linear kernel. Can I use the same equation for radial? Why or Why not?

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Danica
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Does the method of computing feature weights for linaerlinear kernel SVM also works for radial Kernel SVM?

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