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SVM kernel type

Namespace: Emgu.CV.ML.MlEnum
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)

Syntax

C#
public enum SVM_KERNEL_TYPE

Visual Basic
Public Enumeration SVM_KERNEL_TYPE

Visual C++
public enum class SVM_KERNEL_TYPE

Members

Member name	Value	Description
LINEAR	0	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	1	polynomial kernel: d(x,y) = (gamma*(xy)+coef0)^degree
RBF	2	Radial-basis-function kernel; a good choice in most cases: d(x,y) = exp(-gamma*\|x-y\|^2)
SIGMOID	3	sigmoid function is used as a kernel: d(x,y) = tanh(gamma*(xy)+coef0)