SVM kernel type

Namespace: Emgu.CV.ML.MlEnum
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.2.0.1010 (2.2.0.1010)

Syntax

         
 C#  Visual Basic  Visual C++ 
public enum SVM_KERNEL_TYPE
Public Enumeration SVM_KERNEL_TYPE
public enum class SVM_KERNEL_TYPE

Members

MemberDescription
LINEAR
No mapping is done, linear discrimination (or regression) is done in the original feature space. It is the fastest option. d(x,y) = x y == (x,y)
POLY
polynomial kernel: d(x,y) = (gamma*(xy)+coef0)^degree
RBF
Radial-basis-function kernel; a good choice in most cases: d(x,y) = exp(-gamma*|x-y|^2)
SIGMOID
sigmoid function is used as a kernel: d(x,y) = tanh(gamma*(xy)+coef0)

See Also