#include <itkBatchSupervisedTrainingFunction.h>
Inheritance diagram for itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >:
Definition at line 28 of file itkBatchSupervisedTrainingFunction.h.
Public Types | |
| typedef SmartPointer< const Self > | ConstPointer |
| typedef SquaredDifferenceErrorFunction< InternalVectorType, ScalarType > | DefaultPerformanceType |
| typedef std::vector< VectorType > | InputSampleVectorType |
| typedef Superclass::InternalVectorType | InternalVectorType |
| typedef Superclass::NetworkType | NetworkType |
| typedef std::vector< OutputVectorType > | OutputSampleVectorType |
| typedef TOutput::MeasurementVectorType | OutputVectorType |
| typedef ErrorFunctionBase< InternalVectorType, ScalarType > | PerformanceFunctionType |
| typedef SmartPointer< Self > | Pointer |
| typedef BatchSupervisedTrainingFunction | Self |
| typedef TrainingFunctionBase< TSample, TOutput, ScalarType > | Superclass |
| typedef ScalarType | ValueType |
| typedef TSample::MeasurementVectorType | VectorType |
Public Member Functions | |
| virtual void | AbortGenerateDataOff () |
| virtual void | AbortGenerateDataOn () |
| virtual LightObject::Pointer | CreateAnother () const |
| virtual void | DebugOff () const |
| virtual void | DebugOn () const |
| VectorType | defaultconverter (typename TSample::MeasurementVectorType v) |
| virtual void | Delete () |
| virtual const bool & | GetAbortGenerateData () |
| Command * | GetCommand (unsigned long tag) |
| bool | GetDebug () const |
| virtual const long & | GetIterations () |
| ValueType | GetLearningRate () |
| const MetaDataDictionary & | GetMetaDataDictionary (void) const |
| MetaDataDictionary & | GetMetaDataDictionary (void) |
| virtual unsigned long | GetMTime () const |
| virtual const char * | GetNameOfClass () const |
| virtual int | GetReferenceCount () const |
| bool | HasObserver (const EventObject &event) const |
| void | InvokeEvent (const EventObject &) const |
| void | InvokeEvent (const EventObject &) |
| virtual void | Modified () const |
| void | Print (std::ostream &os, Indent indent=0) const |
| virtual void | Register () const |
| void | RemoveAllObservers () |
| void | RemoveObserver (unsigned long tag) |
| virtual void | SetAbortGenerateData (bool _arg) |
| void | SetDebug (bool debugFlag) const |
| virtual void | SetIterations (long _arg) |
| void | SetLearningRate (ValueType) |
| void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
| void | SetNumOfIterations (long i) |
| void | SetPerformanceFunction (PerformanceFunctionType *f) |
| virtual void | SetReferenceCount (int) |
| void | SetTargetValues (TOutput *targets) |
| virtual void | SetThreshold (ScalarType _arg) |
| void | SetTrainingSamples (TSample *samples) |
| OutputVectorType | targetconverter (typename TOutput::MeasurementVectorType v) |
| virtual void | Train (NetworkType *, TSample *, TOutput *) |
| void | Train (NetworkType *net, TSample *samples, TOutput *targets) |
| virtual void | UnRegister () const |
| virtual void | UpdateOutputData () |
| void | UpdateProgress (float amount) |
| unsigned long | AddObserver (const EventObject &event, Command *) const |
| unsigned long | AddObserver (const EventObject &event, Command *) |
| virtual const float & | GetProgress () |
| virtual void | SetProgress (float _arg) |
Static Public Member Functions | |
| static void | BreakOnError () |
| static Pointer | New () |
| static bool | GetGlobalWarningDisplay () |
| static void | GlobalWarningDisplayOff () |
| static void | GlobalWarningDisplayOn () |
| static void | SetGlobalWarningDisplay (bool flag) |
Protected Member Functions | |
| BatchSupervisedTrainingFunction () | |
| virtual void | GenerateData () |
| bool | PrintObservers (std::ostream &os, Indent indent) const |
| virtual void | PrintSelf (std::ostream &os, Indent indent) const |
| ~BatchSupervisedTrainingFunction () | |
| virtual void | PrintHeader (std::ostream &os, Indent indent) const |
| virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Protected Attributes | |
| InputSampleVectorType | m_InputSamples |
| long | m_Iterations |
| ValueType | m_LearningRate |
| PerformanceFunctionType::Pointer | m_PerformanceFunction |
| int | m_ReferenceCount |
| SimpleFastMutexLock | m_ReferenceCountLock |
| TOutput * | m_SampleTargets |
| bool | m_Stop |
| OutputSampleVectorType | m_Targets |
| ScalarType | m_Threshold |
| TSample * | m_TrainingSamples |
| typedef SmartPointer<const Self> itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::ConstPointer |
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 35 of file itkBatchSupervisedTrainingFunction.h.
typedef SquaredDifferenceErrorFunction<InternalVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::DefaultPerformanceType [inherited] |
Definition at line 55 of file itkTrainingFunctionBase.h.
typedef std::vector<VectorType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::InputSampleVectorType [inherited] |
Definition at line 51 of file itkTrainingFunctionBase.h.
| typedef Superclass::InternalVectorType itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::InternalVectorType |
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 44 of file itkBatchSupervisedTrainingFunction.h.
| typedef Superclass::NetworkType itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::NetworkType |
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 41 of file itkBatchSupervisedTrainingFunction.h.
typedef std::vector<OutputVectorType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::OutputSampleVectorType [inherited] |
Definition at line 52 of file itkTrainingFunctionBase.h.
typedef TOutput::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::OutputVectorType [inherited] |
Definition at line 48 of file itkTrainingFunctionBase.h.
typedef ErrorFunctionBase<InternalVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::PerformanceFunctionType [inherited] |
Definition at line 54 of file itkTrainingFunctionBase.h.
| typedef SmartPointer<Self> itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::Pointer |
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 34 of file itkBatchSupervisedTrainingFunction.h.
| typedef BatchSupervisedTrainingFunction itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 32 of file itkBatchSupervisedTrainingFunction.h.
| typedef TrainingFunctionBase<TSample, TOutput, ScalarType> itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::Superclass |
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
Definition at line 33 of file itkBatchSupervisedTrainingFunction.h.
typedef ScalarType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::ValueType [inherited] |
Definition at line 44 of file itkTrainingFunctionBase.h.
typedef TSample::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::VectorType [inherited] |
Definition at line 47 of file itkTrainingFunctionBase.h.
| itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::BatchSupervisedTrainingFunction | ( | ) | [protected] |
| itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::~BatchSupervisedTrainingFunction | ( | ) | [inline, protected] |
Definition at line 56 of file itkBatchSupervisedTrainingFunction.h.
| virtual void itk::LightProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
| virtual void itk::LightProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| VectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::defaultconverter | ( | typename TSample::MeasurementVectorType | v | ) | [inline, inherited] |
Definition at line 76 of file itkTrainingFunctionBase.h.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| virtual void itk::LightProcessObject::GenerateData | ( | void | ) | [inline, protected, virtual, inherited] |
This method causes the filter to generate its output.
Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.
Definition at line 123 of file itkLightProcessObject.h.
| virtual const bool& itk::LightProcessObject::GetAbortGenerateData | ( | ) | [virtual, inherited] |
Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
| virtual const long& itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::GetIterations | ( | ) | [virtual, inherited] |
| ValueType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::GetLearningRate | ( | ) | [inherited] |
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| virtual const char* itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::GetNameOfClass | ( | ) | const [virtual] |
Method for creation through the object factory.
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
| virtual const float& itk::LightProcessObject::GetProgress | ( | ) | [virtual, inherited] |
Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 98 of file itkLightObject.h.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< itk::ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| virtual void itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Method to print the object.
Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::LightProcessObject::SetAbortGenerateData | ( | bool | _arg | ) | [virtual, inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| virtual void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetIterations | ( | long | _arg | ) | [virtual, inherited] |
| void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetLearningRate | ( | ValueType | ) | [inherited] |
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
| void itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::SetNumOfIterations | ( | long | i | ) |
Set the number of iterations
| void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetPerformanceFunction | ( | PerformanceFunctionType * | f | ) | [inherited] |
| virtual void itk::LightProcessObject::SetProgress | ( | float | _arg | ) | [virtual, inherited] |
Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetTargetValues | ( | TOutput * | targets | ) | [inherited] |
| virtual void itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::SetThreshold | ( | ScalarType | _arg | ) | [virtual] |
| void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::SetTrainingSamples | ( | TSample * | samples | ) | [inherited] |
| OutputVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::targetconverter | ( | typename TOutput::MeasurementVectorType | v | ) | [inline, inherited] |
Definition at line 87 of file itkTrainingFunctionBase.h.
| virtual void itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::Train | ( | NetworkType * | , | |
| TSample * | , | |||
| TOutput * | ||||
| ) | [inline, virtual, inherited] |
Definition at line 70 of file itkTrainingFunctionBase.h.
| void itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::Train | ( | NetworkType * | net, | |
| TSample * | samples, | |||
| TOutput * | targets | |||
| ) |
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::LightProcessObject::UpdateOutputData | ( | ) | [virtual, inherited] |
Actually generate new output.
| void itk::LightProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
Update the progress of the process object. If a ProgressMethod exists, executes it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).
InputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_InputSamples [protected, inherited] |
Definition at line 108 of file itkTrainingFunctionBase.h.
long itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_Iterations [protected, inherited] |
Definition at line 110 of file itkTrainingFunctionBase.h.
ValueType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_LearningRate [protected, inherited] |
Definition at line 111 of file itkTrainingFunctionBase.h.
PerformanceFunctionType::Pointer itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_PerformanceFunction [protected, inherited] |
Definition at line 112 of file itkTrainingFunctionBase.h.
int itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.
TOutput* itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_SampleTargets [protected, inherited] |
Definition at line 107 of file itkTrainingFunctionBase.h.
bool itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::m_Stop [protected] |
Definition at line 62 of file itkBatchSupervisedTrainingFunction.h.
OutputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_Targets [protected, inherited] |
Definition at line 109 of file itkTrainingFunctionBase.h.
ScalarType itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >::m_Threshold [protected] |
Definition at line 61 of file itkBatchSupervisedTrainingFunction.h.
TSample* itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >::m_TrainingSamples [protected, inherited] |
Definition at line 106 of file itkTrainingFunctionBase.h.
1.5.1 written by Dimitri van Heesch,
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