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SVMSGD Class
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Support Vector Machine
Inheritance Hierarchy

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: 3.3.0.2824 (3.3.0.2824)
Syntax
public class SVMSGD : UnmanagedObject, IStatModel, 
	IAlgorithm

The SVMSGD type exposes the following members.

Constructors
  NameDescription
Public methodSVMSGD
Create a support Vector Machine
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Properties
  NameDescription
Public propertyInitialStepSize
initialStepSize of a SVMSGD optimization problem
Public propertyMargin
Margin type
Public propertyMarginRegularization
marginRegularization of a SVMSGD optimization problem
Public propertyPtr
Pointer to the unmanaged object
(Inherited from UnmanagedObject.)
Public propertyStepDecreasingPower
stepDecreasingPower of a SVMSGD optimization problem
Public propertyTermCriteria
Termination criteria of the training algorithm.
Public propertyType
Algorithm type
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Methods
  NameDescription
Public methodDispose
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Protected methodDisposeObject
Release all the memory associated with the SVMSGD model
(Overrides DisposableObjectDisposeObject.)
Public methodEquals (Inherited from Object.)
Protected methodFinalize
Destructor
(Inherited from DisposableObject.)
Public methodGetHashCode (Inherited from Object.)
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 methodSetOptimalParameters
Set the optimal parameters for the given model type
Public methodToString (Inherited from Object.)
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Fields
  NameDescription
Protected field_ptr
A pointer to the unmanaged object
(Inherited from UnmanagedObject.)
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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