| SVMSGD Class |
Support Vector Machine
Inheritance HierarchyNamespace: Emgu.CV.ML
Assembly: Emgu.CV.World (in Emgu.CV.World.dll) Version: 3.3.0.2824 (3.3.0.2824)
SyntaxThe SVMSGD type exposes the following members.
ConstructorsProperties| Name | Description | |
|---|---|---|
 | InitialStepSize |
initialStepSize of a SVMSGD optimization problem
|
| Margin |
Margin type
|
| MarginRegularization |
marginRegularization of a SVMSGD optimization problem
|
| Ptr |
Pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
| StepDecreasingPower |
stepDecreasingPower of a SVMSGD optimization problem
|
| TermCriteria |
Termination criteria of the training algorithm.
|
| Type |
Algorithm type
|
Methods| Name | Description | |
|---|---|---|
 | Dispose |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
 | DisposeObject |
Release all the memory associated with the SVMSGD model
(Overrides DisposableObjectDisposeObject.) |
| Equals | (Inherited from Object.) |
| Finalize |
Destructor
(Inherited from DisposableObject.) |
| GetHashCode | (Inherited from Object.) |
| GetType | (Inherited from Object.) |
| MemberwiseClone | (Inherited from Object.) |
| ReleaseManagedResources |
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.) |
| SetOptimalParameters |
Set the optimal parameters for the given model type
|
| ToString | (Inherited from Object.) |
Fields| Name | Description | |
|---|---|---|
 | _ptr |
A pointer to the unmanaged object
(Inherited from UnmanagedObject.) |
Extension Methods| Name | Description | |
|---|---|---|
 | Clear |
Clear the statistic model
(Defined by StatModelExtensions.) |
| Predict |
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.) |
| Read |
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.) |
| Save |
Save the statistic model to file
(Defined by StatModelExtensions.) |
| Train(TrainData, Int32) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
| Train(IInputArray, DataLayoutType, IInputArray) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
| Write |
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.) |
See Also