Type of SVM
Namespace:
Emgu.CV.ML.MlEnumAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.0.0.0 (2.0.0.0)
Syntax
| C# |
|---|
public enum SVM_TYPE |
| Visual Basic (Declaration) |
|---|
Public Enumeration SVM_TYPE |
| Visual C++ |
|---|
public enum class SVM_TYPE |
Members
| Member name | 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.
|