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SVMSvmType Enumeration
Type of SVM

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public enum SvmType
  Member nameValueDescription
CSvc100 n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers
NuSvc101 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
OneClass102 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
EpsSvr103 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
NuSvr104 Regression; nu is used instead of p.
See Also