 | SVMTypes Enumeration |
SVM type
Namespace: OpenCvSharp.ML
Assembly: OpenCvSharp (in OpenCvSharp.dll) Version: 1.0.0
SyntaxMembers| Member name | Value | Description | |
|---|---|---|---|
| CSvc | 100 | C-Support Vector Classification. n-class classification (n \f$\geq\f$ 2), allows imperfect separation of classes with penalty multiplier C for outliers. | |
| NuSvc | 101 | nu-Support Vector Classification. n-class classification with possible imperfect separation. Parameter \f$\nu\f$ (in the range 0..1, the larger the value, the smoother the decision boundary) is used instead of C. | |
| OneClass | 102 | Distribution Estimation (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 | epsilon-Support Vector 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 | nu-Support Vector Regression. \f$\nu\f$ is used instead of p. See @cite LibSVM for details. |
See Also