Enum SVM.Types

SVM type

public enum SVM.Types

Fields

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.
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.
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.
NuSvr = 104: nu-Support Vector Regression. \f$\nu\f$ is used instead of p. See @cite LibSVM for details.
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.