ITK  4.2.0
Insight Segmentation and Registration Toolkit
itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > Member List

This is the complete list of members for itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, including all inherited members.

AbortGenerateDataOff()itk::LightProcessObjectvirtual
AbortGenerateDataOn()itk::LightProcessObjectvirtual
AddObserver(const EventObject &event, Command *)itk::Object
AddObserver(const EventObject &event, Command *) const itk::Object
BreakOnError()itk::LightObjectstatic
ConstPointer typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
CreateAnother(void) const itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >virtual
DebugOff() const itk::Objectvirtual
DebugOn() const itk::Objectvirtual
defaultconverter(typename TSample::MeasurementVectorType v)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >inline
DefaultPerformanceType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
Delete()itk::LightObjectvirtual
GenerateData()itk::LightProcessObjectinlineprotectedvirtual
GetAbortGenerateData()itk::LightProcessObjectvirtual
GetCommand(unsigned long tag)itk::Object
GetDebug() const itk::Object
GetGlobalWarningDisplay()itk::Objectstatic
GetIterations()itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >virtual
GetLearningRate()itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
GetMetaDataDictionary(void)itk::Object
GetMetaDataDictionary(void) const itk::Object
GetMTime() const itk::Objectvirtual
GetNameOfClass() const itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >virtual
GetProgress()itk::LightProcessObjectvirtual
GetReferenceCount() const itk::LightObjectinlinevirtual
GetTimeStamp() const itk::Objectvirtual
GlobalWarningDisplayOff()itk::Objectinlinestatic
GlobalWarningDisplayOn()itk::Objectinlinestatic
HasObserver(const EventObject &event) const itk::Object
InputSampleVectorType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
InternalClone() const itk::LightObjectprotectedvirtual
InternalReferenceCountType typedefitk::LightObjectprotected
InternalVectorType typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
InvokeEvent(const EventObject &)itk::Object
InvokeEvent(const EventObject &) const itk::Object
IterativeSupervisedTrainingFunction()itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >protected
itkCloneMacro(Self)itk::LightObject
LightObject()itk::LightObjectinlineprotected
LightProcessObject()itk::LightProcessObjectprotected
m_InputSamplesitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_Iterationsitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_LearningRateitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_PerformanceFunctionitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_ReferenceCountitk::LightObjectmutableprotected
m_ReferenceCountLockitk::LightObjectmutableprotected
m_SampleTargetsitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_Stopitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >protected
m_Targetsitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
m_Thresholditk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >protected
m_TrainingSamplesitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
Modified() const itk::Objectvirtual
NetworkType typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
New()itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >static
Object()itk::Objectprotected
OutputSampleVectorType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
OutputVectorType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
PerformanceFunctionType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
Pointer typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
Print(std::ostream &os, Indent indent=0) const itk::LightObject
PrintHeader(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
PrintObservers(std::ostream &os, Indent indent) const itk::Objectprotected
PrintSelf(std::ostream &os, Indent indent) const itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >protectedvirtual
PrintTrailer(std::ostream &os, Indent indent) const itk::LightObjectprotectedvirtual
Register() const itk::Objectvirtual
RemoveAllObservers()itk::Object
RemoveObserver(unsigned long tag)itk::Object
Self typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
SetAbortGenerateData(bool _arg)itk::LightProcessObjectvirtual
SetDebug(bool debugFlag) const itk::Object
SetGlobalWarningDisplay(bool flag)itk::Objectstatic
SetIterations(SizeValueType _arg)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >virtual
SetLearningRate(ValueType)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
SetMetaDataDictionary(const MetaDataDictionary &rhs)itk::Object
SetNumOfIterations(SizeValueType i)itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
SetPerformanceFunction(PerformanceFunctionType *f)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
SetProgress(float _arg)itk::LightProcessObjectvirtual
SetReferenceCount(int)itk::Objectvirtual
SetTargetValues(TTargetVector *targets)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
SetThreshold(ScalarType _arg)itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >virtual
SetTimeStamp(const TimeStamp &time)itk::Objectprotectedvirtual
SetTrainingSamples(TSample *samples)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
Superclass typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
targetconverter(typename TTargetVector::MeasurementVectorType v)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >inline
Train(NetworkType *net, TSample *samples, TTargetVector *targets)itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >virtual
itk::Statistics::TrainingFunctionBase::Train(NetworkType *, TSample *, TTargetVector *)itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >inlinevirtual
TrainingFunctionBase()itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >protected
UnRegister() const itk::Objectvirtual
UpdateOutputData()itk::LightProcessObjectvirtual
UpdateProgress(float amount)itk::LightProcessObject
ValueType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
VectorType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
~IterativeSupervisedTrainingFunction()itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >inlineprotectedvirtual
~LightObject()itk::LightObjectprotectedvirtual
~LightProcessObject()itk::LightProcessObjectprotected
~Object()itk::Objectprotectedvirtual
~TrainingFunctionBase()itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >inlineprotected