SVM kernel type

Namespace:  Emgu.CV.ML.MlEnum
Assembly:  Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.1.0.649 (2.1.0.649)

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