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SVM Methods
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The SVM type exposes the following members.

Methods
  NameDescription
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release all the memory associated with the SVM
(Overrides DisposableObjectDisposeObject.)
Public methodEquals (Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodStatic memberGetDefaultGrid
Get the default parameter grid for the specific SVM type
Public methodGetHashCode (Inherited from Object.)
Public methodGetSupportVectors
Retrieves all the support vectors.
Public methodGetType (Inherited from Object.)
Protected methodMemberwiseClone (Inherited from Object.)
Protected methodReleaseManagedResources
Release the managed resources. This function will be called during the disposal of the current object. override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object
(Inherited from DisposableObject.)
Public methodSetKernel
Initialize with one of predefined kernels
Public methodToString (Inherited from Object.)
Public methodTrainAuto(TrainData, Int32)
The method trains the SVM model automatically by choosing the optimal parameters C, gamma, p, nu, coef0, degree from CvSVMParams. By the optimality one mean that the cross-validation estimate of the test set error is minimal.
Public methodTrainAuto(TrainData, Int32, MCvParamGrid, MCvParamGrid, MCvParamGrid, MCvParamGrid, MCvParamGrid, MCvParamGrid, Boolean)
The method trains the SVM model automatically by choosing the optimal parameters C, gamma, p, nu, coef0, degree from CvSVMParams. By the optimality one mean that the cross-validation estimate of the test set error is minimal.
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Extension Methods
  NameDescription
Public Extension MethodClear
Clear the statistic model
(Defined by StatModelExtensions.)
Public Extension MethodPredict
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.)
Public Extension MethodRead
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.)
Public Extension MethodSave
Save the statistic model to file
(Defined by StatModelExtensions.)
Public Extension MethodTrain(TrainData, Int32)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodTrain(IInputArray, DataLayoutType, IInputArray)Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.)
Public Extension MethodWrite
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.)
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See Also