Orfeo Toolbox  3.16
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes
itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType > Class Template Reference

#include <itkIterativeSupervisedTrainingFunction.h>

+ Inheritance diagram for itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >:
+ Collaboration diagram for itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >:

List of all members.

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
TTargetVector::MeasurementVectorType 		OutputVectorType
typedef ErrorFunctionBase
< InternalVectorType,
ScalarType > 		PerformanceFunctionType
typedef SmartPointer< Self > Pointer
typedef
IterativeSupervisedTrainingFunction 		Self
typedef TrainingFunctionBase
< TSample, TTargetVector,
ScalarType > 		Superclass
typedef ScalarType ValueType
typedef
TSample::MeasurementVectorType 		VectorType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const
virtual ::itk::LightObject::Pointer CreateAnother (void) 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 ()
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
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 SetProgress (float _arg)
virtual void SetReferenceCount (int)
void SetTargetValues (TTargetVector *targets)
virtual void SetThreshold (ScalarType _arg)
void SetTrainingSamples (TSample *samples)
OutputVectorType targetconverter (typename TTargetVector::MeasurementVectorType v)
virtual void Train (NetworkType *net, TSample *samples, TTargetVector *targets)
virtual void Train (NetworkType *, TSample *, TTargetVector *)
virtual void UnRegister () const
virtual void UpdateOutputData ()
void UpdateProgress (float amount)

Static Public Member Functions

static void BreakOnError ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static Pointer New ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 IterativeSupervisedTrainingFunction ()
virtual ~IterativeSupervisedTrainingFunction ()
virtual void GenerateData ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (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
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
TTargetVector * m_SampleTargets
bool m_Stop
OutputSampleVectorType m_Targets
ScalarType m_Threshold
TSample * m_TrainingSamples

Detailed Description

template<class TSample, class TTargetVector, class ScalarType>
class itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >

Definition at line 30 of file itkIterativeSupervisedTrainingFunction.h.

Member Typedef Documentation

template<class TSample, class TTargetVector, class ScalarType>
typedef SmartPointer<const Self> itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::ConstPointer

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 37 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef SquaredDifferenceErrorFunction<InternalVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::DefaultPerformanceType
inherited

Definition at line 56 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef std::vector<VectorType> itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::InputSampleVectorType
inherited

Definition at line 51 of file itkTrainingFunctionBase.h.

typedef int itk::LightObject::InternalReferenceCountType
protectedinherited

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 137 of file itkLightObject.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef Superclass::InternalVectorType itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::InternalVectorType

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 46 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef Superclass::NetworkType itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::NetworkType

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 43 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef std::vector<OutputVectorType> itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::OutputSampleVectorType
inherited

Definition at line 52 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef TTargetVector::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::OutputVectorType
inherited

Definition at line 48 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef ErrorFunctionBase<InternalVectorType, ScalarType> itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::PerformanceFunctionType
inherited

Definition at line 54 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef SmartPointer<Self> itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::Pointer

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 36 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef IterativeSupervisedTrainingFunction itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::Self

Standard class typedefs.

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 34 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef TrainingFunctionBase<TSample, TTargetVector, ScalarType> itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::Superclass

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 35 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef ScalarType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::ValueType
inherited

Definition at line 44 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
typedef TSample::MeasurementVectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::VectorType
inherited

Definition at line 47 of file itkTrainingFunctionBase.h.

Constructor & Destructor Documentation

template<class TSample , class TTargetVector , class ScalarType >
itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::IterativeSupervisedTrainingFunction ( )
protected

Definition at line 31 of file itkIterativeSupervisedTrainingFunction.txx.

template<class TSample, class TTargetVector, class ScalarType>
virtual itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::~IterativeSupervisedTrainingFunction ( )
inlineprotectedvirtual

Definition at line 57 of file itkIterativeSupervisedTrainingFunction.h.

Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff ( )
virtualinherited
virtual void itk::LightProcessObject::AbortGenerateDataOn ( )
virtualinherited

Turn on and off the AbortGenerateData flag.

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *  cmd 
)
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

Definition at line 389 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *  cmd 
) const
inherited

Definition at line 401 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::LightObject::BreakOnError ( )
staticinherited

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

Definition at line 149 of file itkLightObject.cxx.

template<class TSample, class TTargetVector, class ScalarType>
virtual::itk::LightObject::Pointer itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::CreateAnother ( void  ) const
virtual

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::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

void itk::Object::DebugOff ( ) const
virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const
virtualinherited

Turn debugging output on.

Definition at line 242 of file itkObject.cxx.

template<class TSample, class TTargetVector, class ScalarType>
VectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::defaultconverter ( typename TSample::MeasurementVectorType  v)
inlineinherited

Definition at line 75 of file itkTrainingFunctionBase.h.

void itk::LightObject::Delete ( )
virtualinherited

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.

Delete a 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.

Definition at line 88 of file itkLightObject.cxx.

virtual void itk::LightProcessObject::GenerateData ( void  )
inlineprotectedvirtualinherited

This method causes the filter to generate its output.

Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ClassifierBase< TDataContainer >, itk::ClassifierBase< TInputImage >, itk::ClassifierBase< TSample >, itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, otb::SVMClassifier< TSample, TLabel >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 121 of file itkLightProcessObject.h.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData ( )
virtualinherited

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.

Definition at line 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

bool itk::Object::GetDebug ( ) const
inherited

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

bool itk::Object::GetGlobalWarningDisplay ( )
staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

template<class TSample, class TTargetVector, class ScalarType>
virtual const long& itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::GetIterations ( )
virtualinherited
template<class TSample , class TTargetVector , class ScalarType >
TrainingFunctionBase< TSample, TTargetVector, ScalarType >::ValueType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::GetLearningRate ( )
inherited

Definition at line 82 of file itkTrainingFunctionBase.txx.

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )
inherited
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 532 of file itkObject.cxx.

References NULL.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const
inherited
Returns:
A constant reference to this objects MetaDataDictionary.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 543 of file itkObject.cxx.

References NULL.

unsigned long itk::Object::GetMTime ( void  ) const
virtualinherited

Return this objects modified time.

Return the modification for this object.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SpatialObject< TDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

template<class TSample, class TTargetVector, class ScalarType>
virtual const char* itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::GetNameOfClass ( ) const
virtual

Method for creation through the object factory.

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

virtual const float& itk::LightProcessObject::GetProgress ( )
virtualinherited

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
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

static void itk::Object::GlobalWarningDisplayOff ( )
inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )
inlinestaticinherited

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject &  event) const
inherited

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject &  event)
inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

void itk::Object::InvokeEvent ( const EventObject &  event) const
inherited

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

Definition at line 457 of file itkObject.cxx.

void itk::Object::Modified ( void  ) const
virtualinherited

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Make sure this object's modified time is greater than all others.

Reimplemented in otb::SVMModel< TValue, TLabel >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 297 of file itkObject.cxx.

Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().

template<class TSample, class TTargetVector, class ScalarType>
static Pointer itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::New ( )
static

Method for creation through the object factory.

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const
inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const
protectedinherited

Definition at line 478 of file itkObject.cxx.

template<class TSample , class TTargetVector , class ScalarType >
void itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Method to print the object.

Print the object

Reimplemented from itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >.

Definition at line 110 of file itkIterativeSupervisedTrainingFunction.txx.

void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

void itk::Object::Register ( ) const
virtualinherited

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::Object::RemoveObserver ( unsigned long  tag)
inherited

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

virtual void itk::LightProcessObject::SetAbortGenerateData ( bool  _arg)
virtualinherited

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.

Definition at line 275 of file itkObject.cxx.

void itk::Object::SetGlobalWarningDisplay ( bool  val)
staticinherited

This is a global flag that controls whether any debug, warning or error messages are displayed.

Set the value of the global debug output control flag.

Definition at line 370 of file itkObject.cxx.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TSample, class TTargetVector, class ScalarType>
virtual void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::SetIterations ( long  _arg)
virtualinherited
template<class TSample , class TTargetVector , class ScalarType >
void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::SetLearningRate ( ValueType  lr)
inherited

Definition at line 73 of file itkTrainingFunctionBase.txx.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs)
inherited
Returns:
Set the MetaDataDictionary

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

template<class TSample , class TTargetVector , class ScalarType >
void itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::SetNumOfIterations ( long  i)

Definition at line 40 of file itkIterativeSupervisedTrainingFunction.txx.

template<class TSample , class TTargetVector , class ScalarType >
void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::SetPerformanceFunction ( PerformanceFunctionType *  f)
inherited

Definition at line 89 of file itkTrainingFunctionBase.txx.

virtual void itk::LightProcessObject::SetProgress ( float  _arg)
virtualinherited

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.

void itk::Object::SetReferenceCount ( int  ref)
virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 347 of file itkObject.cxx.

template<class TSample , class TTargetVector, class ScalarType >
void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::SetTargetValues ( TTargetVector *  targets)
inherited

Definition at line 57 of file itkTrainingFunctionBase.txx.

template<class TSample, class TTargetVector, class ScalarType>
virtual void itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::SetThreshold ( ScalarType  _arg)
virtual
template<class TSample, class TTargetVector , class ScalarType >
void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::SetTrainingSamples ( TSample *  samples)
inherited

Definition at line 41 of file itkTrainingFunctionBase.txx.

template<class TSample, class TTargetVector, class ScalarType>
OutputVectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::targetconverter ( typename TTargetVector::MeasurementVectorType  v)
inlineinherited

Definition at line 86 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
void itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::Train ( NetworkType *  net,
TSample *  samples,
TTargetVector *  targets 
)
virtual

Definition at line 48 of file itkIterativeSupervisedTrainingFunction.txx.

template<class TSample, class TTargetVector, class ScalarType>
virtual void itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::Train ( NetworkType *  ,
TSample *  ,
TTargetVector *   
)
inlinevirtualinherited

Definition at line 69 of file itkTrainingFunctionBase.h.

void itk::Object::UnRegister ( ) const
virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 324 of file itkObject.cxx.

Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().

void itk::LightProcessObject::UpdateOutputData ( void  )
virtualinherited

Actually generate new output.

GenerateData this object - we have not aborted yet, and our progress before we start to execute is 0.0.

 If we ended due to aborting, push the progress up to 1.0 (since
 it probably didn't end there)

Definition at line 77 of file itkLightProcessObject.cxx.

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).

Definition at line 51 of file itkLightProcessObject.cxx.

Member Data Documentation

template<class TSample, class TTargetVector, class ScalarType>
InputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_InputSamples
protectedinherited

Definition at line 107 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
long itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_Iterations
protectedinherited

Definition at line 109 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
ValueType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_LearningRate
protectedinherited

Definition at line 110 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
PerformanceFunctionType::Pointer itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_PerformanceFunction
protectedinherited

Definition at line 112 of file itkTrainingFunctionBase.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount
mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock
mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

template<class TSample, class TTargetVector, class ScalarType>
TTargetVector* itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_SampleTargets
protectedinherited

Definition at line 106 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
bool itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::m_Stop
protected

Definition at line 63 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
OutputSampleVectorType itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_Targets
protectedinherited

Definition at line 108 of file itkTrainingFunctionBase.h.

template<class TSample, class TTargetVector, class ScalarType>
ScalarType itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >::m_Threshold
protected

Definition at line 62 of file itkIterativeSupervisedTrainingFunction.h.

template<class TSample, class TTargetVector, class ScalarType>
TSample* itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >::m_TrainingSamples
protectedinherited

Definition at line 105 of file itkTrainingFunctionBase.h.

The documentation for this class was generated from the following files:
Generated at Sun Feb 3 2013 03:02:00 for Orfeo Toolbox with doxygen 1.8.1.1