Type of SVM
Namespace: OpenCvSharp.CPlusPlus
Assembly: OpenCvSharp.CPlusPlus (in OpenCvSharp.CPlusPlus.dll) Version: 1.0.0.0 (1.0.0.0)
Syntax
Members
| Member name | Value | Description | |
|---|---|---|---|
| CSvc | 100 | n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers. [CvSVM::C_SVC] | |
| NuSvc | 101 | n-class classification with possible imperfect separation. Parameter nu (in the range 0..1, the larger the value, the smoother the decision boundary) is used instead of C. [CvSVM::NU_SVC] | |
| OneClass | 102 | one-class SVM. All the training data are from the same class, SVM builds a boundary that separates the class from the rest of the feature space. [CvSVM::ONE_CLASS] | |
| EpsSvr | 103 | regression. The distance between feature vectors from the training set and the fitting hyper-plane must be less than p. For outliers the penalty multiplier C is used. [CvSVM::EPS_SVR] | |
| NuSvr | 104 | regression; nu is used instead of p. [CvSVM::NU_SVR] |
See Also