, including all inherited members.
AbortGenerateDataOff() | itk::LightProcessObject | [virtual] |
AbortGenerateDataOn() | itk::LightProcessObject | [virtual] |
AddObserver(const EventObject &event, Command *) | itk::Object | |
AddObserver(const EventObject &event, Command *) const | itk::Object | |
BatchSupervisedTrainingFunction() | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [protected] |
BreakOnError() | itk::LightObject | [static] |
ConstPointer typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
CreateAnother() const | itk::Object | [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 | [inline, protected, virtual] |
GetAbortGenerateData() | itk::LightProcessObject | [virtual] |
GetCommand(unsigned long tag) | itk::Object | |
GetDebug() const | itk::Object | |
GetGlobalWarningDisplay() | itk::Object | [static] |
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::Object | [virtual] |
GetNameOfClass() const | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [virtual] |
GetProgress() | itk::LightProcessObject | [virtual] |
GetReferenceCount() const | itk::LightObject | [inline, virtual] |
GlobalWarningDisplayOff() | itk::Object | [inline, static] |
GlobalWarningDisplayOn() | itk::Object | [inline, static] |
HasObserver(const EventObject &event) const | itk::Object | |
InputSampleVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
InternalReferenceCountType typedef | itk::LightObject | [protected] |
InternalVectorType typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
InvokeEvent(const EventObject &) | itk::Object | |
InvokeEvent(const EventObject &) const | itk::Object | |
LightObject() | itk::LightObject | [inline, protected] |
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 | [mutable, protected] |
m_ReferenceCountLock | itk::LightObject | [mutable, protected] |
m_SampleTargets | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [protected] |
m_Stop | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [protected] |
m_Targets | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [protected] |
m_Threshold | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [protected] |
m_TrainingSamples | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [protected] |
Modified() const | itk::Object | [virtual] |
NetworkType typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
New() | itk::Statistics::BatchSupervisedTrainingFunction< 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::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
Print(std::ostream &os, Indent indent=0) const | itk::LightObject | |
PrintHeader(std::ostream &os, Indent indent) const | itk::LightObject | [protected, virtual] |
PrintObservers(std::ostream &os, Indent indent) const | itk::Object | [protected] |
PrintSelf(std::ostream &os, Indent indent) const | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [protected, virtual] |
PrintTrailer(std::ostream &os, Indent indent) const | itk::LightObject | [protected, virtual] |
Register() const | itk::Object | [virtual] |
RemoveAllObservers() | itk::Object | |
RemoveObserver(unsigned long tag) | itk::Object | |
Self typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
SetAbortGenerateData(bool _arg) | itk::LightProcessObject | [virtual] |
SetDebug(bool debugFlag) const | itk::Object | |
SetGlobalWarningDisplay(bool flag) | itk::Object | [static] |
SetIterations(long _arg) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [virtual] |
SetLearningRate(ValueType) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
SetMetaDataDictionary(const MetaDataDictionary &rhs) | itk::Object | |
SetNumOfIterations(long i) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
SetPerformanceFunction(PerformanceFunctionType *f) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
SetProgress(float _arg) | itk::LightProcessObject | [virtual] |
SetReferenceCount(int) | itk::Object | [virtual] |
SetTargetValues(TTargetVector *targets) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
SetThreshold(ScalarType _arg) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [virtual] |
SetTrainingSamples(TSample *samples) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | |
Superclass typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | |
targetconverter(typename TTargetVector::MeasurementVectorType v) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [inline] |
Train(NetworkType *net, TSample *samples, TTargetVector *targets) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [virtual] |
itk::Statistics::TrainingFunctionBase::Train(NetworkType *, TSample *, TTargetVector *) | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [inline, virtual] |
TrainingFunctionBase() | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [protected] |
UnRegister() const | 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 > | |
~BatchSupervisedTrainingFunction() | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > | [inline, protected, virtual] |
~LightObject() | itk::LightObject | [protected, virtual] |
~LightProcessObject() | itk::LightProcessObject | [protected] |
~Object() | itk::Object | [protected, virtual] |
~TrainingFunctionBase() | itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType > | [inline, protected] |