itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > Class Template Reference

#include <itkTrainingFunctionBase.h>

Inheritance diagram for itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >:

[legend]Collaboration diagram for itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >:

[legend]List of all members.

Public Types
typedef TrainingFunctionBase	Self
typedef LightProcessObject	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef TSample::MeasurementVectorType	VectorType
typedef TOutput::MeasurementVectorType	OutputVectorType
typedef std::vector< VectorType >	InputSampleVectorType
typedef std::vector< OutputVectorType >	OutputSampleVectorType
typedef ScalarType	ValueType
typedef NeuralNetworkObject< VectorType, OutputVectorType >	NetworkType
typedef ErrorFunctionBase< OutputVectorType, ScalarType >	PerformanceFunctionType
typedef SquaredDifferenceErrorFunction< OutputVectorType, ScalarType >	DefaultPerformanceType
Public Member Functions
virtual const char *	GetNameOfClass () const
void	SetTrainingSamples (TSample *samples)
void	SetTargetValues (TOutput *targets)
void	SetLearningRate (ValueType)
ValueType	GetLearningRate ()
virtual void	SetIterations (long _arg)
virtual const long &	GetIterations ()
void	SetPerformanceFunction (PerformanceFunctionType *f)
virtual void	Train (NetworkType *, TSample *, TOutput *)
VectorType	defaultconverter (typename TSample::MeasurementVectorType v)
OutputVectorType	targetconverter (typename TOutput::MeasurementVectorType v)
Static Public Member Functions
Pointer	New ()
Protected Member Functions
	TrainingFunctionBase ()
	~TrainingFunctionBase ()
virtual void	PrintSelf (std::ostream &os, Indent indent) const
Protected Attributes
TSample *	m_TrainingSamples
TOutput *	m_SampleTargets
InputSampleVectorType	m_InputSamples
OutputSampleVectorType	m_Targets
long	m_Iterations
ValueType	m_LearningRate
PerformanceFunctionType::Pointer	m_PerformanceFunction

template<class TSample, class TOutput, class ScalarType>
class itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >

---

Member Typedef Documentation

template<class TSample, class TOutput, class ScalarType> typedef SmartPointer<const Self> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::ConstPointer

Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 38 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef SquaredDifferenceErrorFunction<OutputVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::DefaultPerformanceType

Definition at line 54 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef std::vector<VectorType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::InputSampleVectorType

Definition at line 49 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef NeuralNetworkObject<VectorType, OutputVectorType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::NetworkType

Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 52 of file itkTrainingFunctionBase.h. Referenced by itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Train().

template<class TSample, class TOutput, class ScalarType> typedef std::vector<OutputVectorType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::OutputSampleVectorType

Definition at line 50 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef TOutput::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::OutputVectorType

Definition at line 47 of file itkTrainingFunctionBase.h. Referenced by itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::targetconverter().

template<class TSample, class TOutput, class ScalarType> typedef ErrorFunctionBase<OutputVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::PerformanceFunctionType

Definition at line 53 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef SmartPointer<Self> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Pointer

Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 37 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef TrainingFunctionBase itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Self

Standard class typedefs. Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 35 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef LightProcessObject itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Superclass

Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 36 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef ScalarType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::ValueType

Definition at line 51 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> typedef TSample::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::VectorType

Definition at line 46 of file itkTrainingFunctionBase.h. Referenced by itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::defaultconverter().

---

Constructor & Destructor Documentation

template<class TSample, class TOutput, class ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::TrainingFunctionBase (   )  [protected]

template<class TSample, class TOutput, class ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::~TrainingFunctionBase (   )  [inline, protected]

Definition at line 98 of file itkTrainingFunctionBase.h.

---

Member Function Documentation

template<class TSample, class TOutput, class ScalarType> VectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::defaultconverter (  typename TSample::MeasurementVectorType  v  )  [inline]

Definition at line 74 of file itkTrainingFunctionBase.h. References itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::VectorType.

template<class TSample, class TOutput, class ScalarType> virtual const long& itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::GetIterations (   )  [virtual]

template<class TSample, class TOutput, class ScalarType> ValueType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::GetLearningRate (   )

template<class TSample, class TOutput, class ScalarType> virtual const char* itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::GetNameOfClass (   )  const [virtual]

Method for creation through the object factory. Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >.

template<class TSample, class TOutput, class ScalarType> Pointer itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::New (   )  [static]

Method for creation through the object factory. Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >.

template<class TSample, class TOutput, class ScalarType> virtual void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::PrintSelf (  std::ostream &  os, Indent  indent )  const [protected, virtual]

Method to print the object. Reimplemented from itk::LightProcessObject. Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >.

template<class TSample, class TOutput, class ScalarType> virtual void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetIterations (  long  _arg  )  [virtual]

template<class TSample, class TOutput, class ScalarType> void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetLearningRate (  ValueType   )

template<class TSample, class TOutput, class ScalarType> void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetPerformanceFunction (  PerformanceFunctionType *  f  )

template<class TSample, class TOutput, class ScalarType> void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetTargetValues (  TOutput *  targets  )

template<class TSample, class TOutput, class ScalarType> void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetTrainingSamples (  TSample *  samples  )

template<class TSample, class TOutput, class ScalarType> OutputVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::targetconverter (  typename TOutput::MeasurementVectorType  v  )  [inline]

Definition at line 85 of file itkTrainingFunctionBase.h. References itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::OutputVectorType.

template<class TSample, class TOutput, class ScalarType> virtual void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Train (  NetworkType *  , TSample *  , TOutput *  )  [inline, virtual]

Reimplemented in itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, and itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >. Definition at line 68 of file itkTrainingFunctionBase.h. References itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::NetworkType.

---

Member Data Documentation

template<class TSample, class TOutput, class ScalarType> InputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_InputSamples [protected]

Definition at line 105 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> long itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_Iterations [protected]

Definition at line 107 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> ValueType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_LearningRate [protected]

Definition at line 108 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> PerformanceFunctionType::Pointer itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_PerformanceFunction [protected]

Definition at line 109 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> TOutput* itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_SampleTargets [protected]

Definition at line 104 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> OutputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_Targets [protected]

Definition at line 106 of file itkTrainingFunctionBase.h.

template<class TSample, class TOutput, class ScalarType> TSample* itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_TrainingSamples [protected]

Definition at line 103 of file itkTrainingFunctionBase.h.

---

The documentation for this class was generated from the following file:

• itkTrainingFunctionBase.h

---