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Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)
Type of SVM
Namespace: Emgu.CV.ML.MlEnumAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)
Syntax
| C# |
|---|
public enum SVM_TYPE |
| Visual Basic |
|---|
Public Enumeration SVM_TYPE |
| Visual C++ |
|---|
public enum class SVM_TYPE |
Members
| Member name | Value | Description | |
|---|---|---|---|
| C_SVC | 100 | n-class classification (n>=2), allows imperfect separation of classes with penalty multiplier C for outliers | |
| NU_SVC | 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 | |
| ONE_CLASS | 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 | |
| EPS_SVR | 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 | |
| NU_SVR | 104 | Regression; nu is used instead of p. |
See Also
