| SVMSvmType Enumeration |
Type of SVM
Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 3.0.0.2161 (3.0.0.2161)
SyntaxMembers| Member name | Value | Description | |
|---|---|---|---|
| CSvc | 100 | n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers | |
| 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 | |
| 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 | |
| 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 | |
| NuSvr | 104 | Regression; nu is used instead of p. |
See Also