SVM kernel type
Namespace:
Emgu.CV.ML.MlEnumAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.0.0.0 (2.0.0.0)
Syntax
| C# |
|---|
public enum SVM_KERNEL_TYPE |
| Visual Basic (Declaration) |
|---|
Public Enumeration SVM_KERNEL_TYPE |
| Visual C++ |
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public enum class SVM_KERNEL_TYPE |
Members
| Member name | Description | |
|---|---|---|
| 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
