Enum SVM.SvmType

Namespace

Emgu.CV.ML

Assembly

Emgu.CV.dll

Type of SVM

public enum SVM.SvmType

Fields

CSvc = 100

n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers

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

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

NuSvr = 104

Regression; nu is used instead of p.

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