Type of SVM
| C# | Visual Basic | Visual C++ |
public enum SVM_TYPE
Public Enumeration SVM_TYPE
public enum class SVM_TYPE
| Member | Description |
|---|---|
| C_SVC |
n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers
|
| NU_SVC |
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
|
| ONE_CLASS |
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
|
| EPS_SVR |
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
|
| NU_SVR |
Regression; nu is used instead of p.
|