| SVMSvmKernelType Enumeration |
SVM kernel type
Namespace: Emgu.CV.ML
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: 3.3.0.2824 (3.3.0.2824)
SyntaxMembers| Member name | Value | Description | |
|---|---|---|---|
| Custom | -1 | Custom svm kernel type | |
| 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) | |
| Chi2 | 4 | Exponential Chi2 kernel, similar to the RBF kernel | |
| Inter | 5 | Histogram intersection kernel. A fast kernel. K(xi,xj)=min(xi,xj). |
See Also