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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::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 typedefitk::Statistics::IterativeSupervisedTrainingFunction< 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 typedefitk::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::IterativeSupervisedTrainingFunction< 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 typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
InternalReferenceCountType typedefitk::LightObject [protected]
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]
LightObject()itk::LightObject [inline, protected]
LightProcessObject()itk::LightProcessObject [protected]
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::LightObject [mutable, protected]
m_ReferenceCountLockitk::LightObject [mutable, protected]
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::Object [virtual]
NetworkType typedefitk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >
New()itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > [static]
Object()itk::Object [protected]
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::LightObject [protected, virtual]
PrintObservers(std::ostream &os, Indent indent) const itk::Object [protected]
PrintSelf(std::ostream &os, Indent indent) const itk::Statistics::IterativeSupervisedTrainingFunction< 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 typedefitk::Statistics::IterativeSupervisedTrainingFunction< 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::IterativeSupervisedTrainingFunction< 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::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > [virtual]
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 > [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 typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
VectorType typedefitk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >
~IterativeSupervisedTrainingFunction()itk::Statistics::IterativeSupervisedTrainingFunction< 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]

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