| 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, TOutput, ScalarType > | [protected] |
| BreakOnError() | itk::LightObject | [static] |
| ConstPointer typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, 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, TOutput, ScalarType > | [inline] |
| DefaultPerformanceType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, 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, TOutput, ScalarType > | [virtual] |
| GetLearningRate() | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| GetMetaDataDictionary(void) | itk::Object | |
| GetMetaDataDictionary(void) const | itk::Object | |
| GetMTime() const | itk::Object | [virtual] |
| GetNameOfClass() const | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, 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, TOutput, 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, TOutput, ScalarType > | [protected] |
| m_Iterations | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| m_LearningRate | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| m_PerformanceFunction | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| m_ReferenceCount | itk::LightObject | [mutable, protected] |
| m_ReferenceCountLock | itk::LightObject | [mutable, protected] |
| m_SampleTargets | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| m_Stop | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [protected] |
| m_Targets | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| m_Threshold | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [protected] |
| m_TrainingSamples | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| Modified() const | itk::Object | [virtual] |
| NetworkType typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | |
| New() | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [static] |
| Object() | itk::Object | [protected] |
| OutputSampleVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| OutputVectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| PerformanceFunctionType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| Pointer typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, 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, TOutput, 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, TOutput, 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, TOutput, ScalarType > | [virtual] |
| SetLearningRate(ValueType) | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| SetMetaDataDictionary(const MetaDataDictionary &rhs) | itk::Object | |
| SetNumOfIterations(long i) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | |
| SetPerformanceFunction(PerformanceFunctionType *f) | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| SetProgress(float _arg) | itk::LightProcessObject | [virtual] |
| SetReferenceCount(int) | itk::Object | [virtual] |
| SetTargetValues(TOutput *targets) | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| SetThreshold(ScalarType _arg) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [virtual] |
| SetTrainingSamples(TSample *samples) | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| Superclass typedef | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | |
| targetconverter(typename TOutput::MeasurementVectorType v) | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [inline] |
| Train(NetworkType *net, TSample *samples, TOutput *targets) | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [virtual] |
| TrainingFunctionBase() | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [protected] |
| UnRegister() const | itk::Object | [virtual] |
| UpdateOutputData() | itk::LightProcessObject | [virtual] |
| UpdateProgress(float amount) | itk::LightProcessObject | |
| ValueType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| VectorType typedef | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | |
| ~BatchSupervisedTrainingFunction() | itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType > | [inline, protected] |
| ~LightObject() | itk::LightObject | [protected, virtual] |
| ~LightProcessObject() | itk::LightProcessObject | [protected] |
| ~Object() | itk::Object | [protected, virtual] |
| ~TrainingFunctionBase() | itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType > | [inline, protected] |
