#include <itkIterativeSupervisedTrainingFunction.h>

Inheritance diagram for itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >:

Collaboration diagram for itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >:

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::InternalVectorType	InternalVectorType
typedef Superclass::NetworkType	NetworkType
typedef SmartPointer< Self >	Pointer
typedef IterativeSupervisedTrainingFunction	Self
typedef TrainingFunctionBase < TSample, TTargetVector, ScalarType >	Superclass
Public Types inherited from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
typedef SquaredDifferenceErrorFunction < InternalVectorType, ScalarType >	DefaultPerformanceType
typedef std::vector< VectorType >	InputSampleVectorType
typedef std::vector < OutputVectorType >	OutputSampleVectorType
typedef TTargetVector::MeasurementVectorType	OutputVectorType
typedef ErrorFunctionBase < InternalVectorType, ScalarType >	PerformanceFunctionType
typedef ScalarType	ValueType
typedef TSample::MeasurementVectorType	VectorType
Public Types inherited from itk::LightProcessObject
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const char *	GetNameOfClass () const
void	SetNumOfIterations (SizeValueType i)
virtual void	SetThreshold (ScalarType _arg)
virtual void	Train (NetworkType net, TSample samples, TTargetVector *targets)
Public Member Functions inherited from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
VectorType	defaultconverter (typename TSample::MeasurementVectorType v)
virtual const SizeValueType &	GetIterations ()
ValueType	GetLearningRate ()
virtual void	SetIterations (SizeValueType _arg)
void	SetLearningRate (ValueType)
void	SetPerformanceFunction (PerformanceFunctionType *f)
void	SetTargetValues (TTargetVector *targets)
void	SetTrainingSamples (TSample *samples)
OutputVectorType	targetconverter (typename TTargetVector::MeasurementVectorType v)
virtual void	Train (NetworkType , TSample , TTargetVector *)
Public Member Functions inherited from itk::LightProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual const bool &	GetAbortGenerateData ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	UpdateOutputData ()
void	UpdateProgress (float amount)
virtual void	SetProgress (float _arg)
virtual const float &	GetProgress ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Protected Member Functions
	IterativeSupervisedTrainingFunction ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~IterativeSupervisedTrainingFunction ()
Protected Member Functions inherited from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
	TrainingFunctionBase ()
	~TrainingFunctionBase ()
Protected Member Functions inherited from itk::LightProcessObject
	LightProcessObject ()
	~LightProcessObject ()
virtual void	GenerateData ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Protected Attributes
bool	m_Stop
ScalarType	m_Threshold
Protected Attributes inherited from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
InputSampleVectorType	m_InputSamples
SizeValueType	m_Iterations
ValueType	m_LearningRate
PerformanceFunctionType::Pointer	m_PerformanceFunction
TTargetVector *	m_SampleTargets
OutputSampleVectorType	m_Targets
TSample *	m_TrainingSamples

Detailed Description