AbortGenerateDataOff() | itk::LightProcessObject | virtual |
AbortGenerateDataOn() | itk::LightProcessObject | virtual |
AddObserver(const EventObject &event, Command *) | itk::Object | |
AddObserver(const EventObject &event, Command *) const | itk::Object | |
BreakOnError() | itk::LightObject | static |
ConstPointer typedef | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
CreateAnother(void) const | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | virtual |
DebugOff() const | itk::Object | virtual |
DebugOn() const | itk::Object | virtual |
defaultconverter(typename TSample::MeasurementVectorType v) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | inline |
DefaultPerformanceType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
Delete() | itk::LightObject | virtual |
GenerateData() | itk::LightProcessObject | inlineprotectedvirtual |
GetAbortGenerateData() const | itk::LightProcessObject | virtual |
GetCommand(unsigned long tag) | itk::Object | |
GetDebug() const | itk::Object | |
GetGlobalWarningDisplay() | itk::Object | static |
GetIterations() const | 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::Object | virtual |
GetNameOfClass() const | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | virtual |
GetObjectName() const | itk::Object | virtual |
GetProgress() const | itk::LightProcessObject | virtual |
GetReferenceCount() const | itk::LightObject | inlinevirtual |
GetTimeStamp() const | itk::Object | virtual |
GlobalWarningDisplayOff() | itk::Object | inlinestatic |
GlobalWarningDisplayOn() | itk::Object | inlinestatic |
HasObserver(const EventObject &event) const | itk::Object | |
InputSampleVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
InternalClone() const | itk::LightObject | protectedvirtual |
InternalReferenceCountType typedef | itk::LightObject | protected |
InternalVectorType typedef | itk::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::LightObject | inlineprotected |
LightProcessObject() | itk::LightProcessObject | protected |
m_InputSamples | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_Iterations | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_LearningRate | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_PerformanceFunction | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_ReferenceCount | itk::LightObject | mutableprotected |
m_ReferenceCountLock | itk::LightObject | mutableprotected |
m_SampleTargets | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_Stop | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | protected |
m_Targets | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
m_Threshold | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | protected |
m_TrainingSamples | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | protected |
Modified() const | itk::Object | virtual |
NetworkType typedef | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
New() | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | static |
Object() | itk::Object | protected |
OutputSampleVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
OutputVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
PerformanceFunctionType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
Pointer typedef | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
Print(std::ostream &os, Indent indent=0) const | itk::LightObject | |
PrintHeader(std::ostream &os, Indent indent) const | itk::LightObject | protectedvirtual |
PrintObservers(std::ostream &os, Indent indent) const | itk::Object | protected |
PrintSelf(std::ostream &os, Indent indent) const | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | protectedvirtual |
PrintTrailer(std::ostream &os, Indent indent) const | itk::LightObject | protectedvirtual |
Register() const ITK_OVERRIDE | itk::Object | virtual |
RemoveAllObservers() | itk::Object | |
RemoveObserver(unsigned long tag) | itk::Object | |
Self typedef | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
SetAbortGenerateData(bool _arg) | itk::LightProcessObject | virtual |
SetDebug(bool debugFlag) const | itk::Object | |
SetGlobalWarningDisplay(bool flag) | itk::Object | static |
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 > | |
SetObjectName(std::string _arg) | itk::Object | virtual |
SetPerformanceFunction(PerformanceFunctionType *f) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
SetProgress(float _arg) | itk::LightProcessObject | virtual |
SetReferenceCount(int) ITK_OVERRIDE | itk::Object | virtual |
SetTargetValues(TTargetVector *targets) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
SetThreshold(ScalarType _arg) | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | virtual |
SetTimeStamp(const TimeStamp &time) | itk::Object | protectedvirtual |
SetTrainingSamples(TSample *samples) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
Superclass typedef | itk::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_OVERRIDE | itk::Object | virtual |
UpdateOutputData() | itk::LightProcessObject | virtual |
UpdateProgress(float amount) | itk::LightProcessObject | |
ValueType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
VectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
~IterativeSupervisedTrainingFunction() | itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | inlineprotectedvirtual |
~LightObject() | itk::LightObject | protectedvirtual |
~LightProcessObject() | itk::LightProcessObject | protected |
~Object() | itk::Object | protectedvirtual |
~TrainingFunctionBase() | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | inlineprotected |