#include <otbVectorPrediction.h>

Inheritance diagram for otb::Wrapper::VectorPrediction< RegressionMode >:

Collaboration diagram for otb::Wrapper::VectorPrediction< RegressionMode >:

Public Types
using	ConfidenceListSampleType = typename MachineLearningModelType::ConfidenceListSampleType

using	ConstPointer = itk::SmartPointer< const Self >

using	InputSampleType = itk::VariableLengthVector< ValueType >

using	LabelListSampleType = itk::Statistics::ListSample< LabelSampleType >

using	LabelSampleType = itk::FixedArray< LabelType, 1 >

using	LabelType = typename std::conditional< RegressionMode, float, unsigned int >::type

using	ListSampleType = itk::Statistics::ListSample< InputSampleType >

using	MachineLearningModelFactoryType = otb::MachineLearningModelFactory< ValueType, LabelType >

using	MachineLearningModelType = otb::MachineLearningModel< ValueType, LabelType >

using	MeasurementType = itk::VariableLengthVector< ValueType >

using	ModelPointerType = typename MachineLearningModelType::Pointer

using	Pointer = itk::SmartPointer< Self >

using	Self = VectorPrediction

using	ShiftScaleFilterType = otb::Statistics::ShiftScaleSampleListFilter< ListSampleType, ListSampleType >

using	StatisticsReader = otb::StatisticsXMLFileReader< MeasurementType >

using	Superclass = Application

using	ValueType = float

Public Types inherited from otb::Wrapper::Application
typedef itk::SmartPointer< const Self >	ConstPointer

typedef itk::SmartPointer< Self >	Pointer

typedef Application	Self

typedef itk::Object	Superclass

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetNameOfClass () const

	~VectorPrediction () override

Public Member Functions inherited from otb::Wrapper::Application
void	AddDocTag (const std::string &)

unsigned int	AddExample (const std::string &comm="")

void	AddImageToParameterInputImageList (std::string const &parameter, ImageBaseType *img)

void	AddParameterStringList (std::string const &parameter, const std::string &str)

void	ClearParameterInputImageList (std::string const &parameter)

void	ClearValue (std::string const &paramKey)

bool	ConnectImage (std::string in, Application *app, std::string out)

void	DisableParameter (std::string const &paramKey)

void	EnableParameter (std::string const &paramKey)

int	Execute ()

int	ExecuteAndWriteOutput ()

std::vector< std::string >	GetChoiceKeys (std::string const &paramKey)

std::vector< std::string >	GetChoiceNames (std::string const &paramKey)

std::string	GetCLExample ()

double	GetDefaultParameterDouble (std::string const &parameter)

float	GetDefaultParameterFloat (std::string const &parameter)

int	GetDefaultParameterInt (std::string const &parameter)

virtual const char *	GetDescription () const

virtual const char *	GetDocAuthors () const

DocExampleStructure::Pointer	GetDocExample ()

virtual const char *	GetDocLimitations () const

virtual const std::string &	GetDocLink () const

virtual const char *	GetDocLongDescription () const

virtual const char *	GetDocSeeAlso () const

virtual std::vector< std::string >	GetDocTags () const

std::string	GetExampleComment (unsigned int id)

unsigned int	GetExampleNumberOfParameters (unsigned int id)

std::string	GetExampleParameterKey (unsigned int exId, unsigned int paramId)

std::string	GetExampleParameterValue (unsigned int exId, unsigned int paramId)

std::string	GetHtmlExample ()

unsigned int	GetImageNbBands (const std::string &key, unsigned int idx=0)

ImageBaseType::PointType	GetImageOrigin (const std::string &key, unsigned int idx=0)

std::string	GetImageProjection (const std::string &key, unsigned int idx=0)

ImageBaseType::RegionType	GetImageRequestedRegion (const std::string &key, unsigned int idx=0)

ImageBaseType::SizeType	GetImageSize (const std::string &key, unsigned int idx=0)

ImageBaseType::SpacingType	GetImageSpacing (const std::string &key, unsigned int idx=0)

double	GetLastExecutionTiming () const

bool	GetListViewSingleSelectionMode (const std::string &parameter)

otb::Logger *	GetLogger () const

virtual const char *	GetName () const

unsigned int	GetNumberOfElementsInParameterInputImageList (std::string const &parameter)

unsigned int	GetNumberOfExamples ()

std::vector< std::pair< std::string, std::string > >	GetOutputParametersSumUp ()

std::string	GetParameterAsString (std::string const &paramKey)

Parameter *	GetParameterByKey (std::string const &parameter, bool follow=true)

const Parameter *	GetParameterByKey (std::string const &parameter, bool follow=true) const

ComplexDoubleImageType *	GetParameterComplexDoubleImage (std::string const &)

ComplexDoubleVectorImageType *	GetParameterComplexDoubleVectorImage (std::string const &)

ComplexFloatImageType *	GetParameterComplexFloatImage (std::string const &)

ComplexFloatVectorImageType *	GetParameterComplexFloatVectorImage (std::string const &)

ComplexInt16ImageType *	GetParameterComplexInt16Image (std::string const &)

ComplexInt16VectorImageType *	GetParameterComplexInt16VectorImage (std::string const &)

ComplexInt32ImageType *	GetParameterComplexInt32Image (std::string const &)

ComplexInt32VectorImageType *	GetParameterComplexInt32VectorImage (std::string const &)

std::string	GetParameterDescription (std::string const &paramKey)

double	GetParameterDouble (std::string const &parameter) const

DoubleImageType *	GetParameterDoubleImage (std::string const &)

DoubleVectorImageType *	GetParameterDoubleVectorImage (std::string const &)

float	GetParameterFloat (std::string const &parameter) const

FloatImageType *	GetParameterFloatImage (std::string const &)

FloatVectorImageType *	GetParameterFloatVectorImage (std::string const &)

FloatVectorImageType *	GetParameterImage (std::string const &parameter)

FloatVectorImageListType *	GetParameterImageList (std::string const &parameter)

int	GetParameterInt (std::string const &parameter) const

Int16ImageType *	GetParameterInt16Image (std::string const &)

Int16VectorImageType *	GetParameterInt16VectorImage (std::string const &)

Int32ImageType *	GetParameterInt32Image (std::string const &)

Int32VectorImageType *	GetParameterInt32VectorImage (std::string const &)

ParameterGroup *	GetParameterList ()

std::string	GetParameterName (std::string const &paramKey)

ImageBaseType *	GetParameterOutputImage (std::string const &parameter)

ImagePixelType	GetParameterOutputImagePixelType (std::string const &parameter)

Role	GetParameterRole (std::string const &paramKey) const

std::vector< std::string >	GetParametersKeys (bool recursive=true)

std::string	GetParameterString (std::string const &parameter) const

std::vector< std::string >	GetParameterStringList (const std::string &parameter)

ParameterType	GetParameterType (std::string const &paramKey) const

UInt16ImageType *	GetParameterUInt16Image (std::string const &)

UInt16VectorImageType *	GetParameterUInt16VectorImage (std::string const &)

UInt32ImageType *	GetParameterUInt32Image (std::string const &)

UInt32VectorImageType *	GetParameterUInt32VectorImage (std::string const &)

UInt8ImageType *	GetParameterUInt8Image (std::string const &)

UInt8RGBAImageType *	GetParameterUInt8RGBAImage (std::string const &)

UInt8RGBImageType *	GetParameterUInt8RGBImage (std::string const &)

UInt8VectorImageType *	GetParameterUInt8VectorImage (std::string const &)

UserLevel	GetParameterUserLevel (std::string const &paramKey) const

VectorDataType *	GetParameterVectorData (std::string const &parameter)

VectorDataListType *	GetParameterVectorDataList (std::string const &parameter)

std::string	GetProgressDescription () const

itk::ProcessObject *	GetProgressSource () const

const FieldParameter::TypeFilterType &	GetTypeFilter (std::string const &key) const

bool	HasAutomaticValue (std::string const &paramKey) const

bool	HasUserValue (std::string const &paramKey) const

bool	HasValue (std::string const &paramKey) const

void	Init ()

bool	IsApplicationReady ()

bool	IsDeprecated ()

bool	IsInitialized () const

bool	IsMandatory (std::string const &paramKey) const

bool	IsParameterEnabled (std::string const &paramKey, bool recurseParents=false) const

bool	IsParameterMissing (const std::string &key) const

void	LoadParametersFromXML (const std::string &filename)

void	PropagateConnectMode (bool isMem)

unsigned long	PropagateRequestedRegion (const std::string &key, ImageBaseType::RegionType region, unsigned int idx=0)

void	SaveParametersToXML (const std::string &filename)

void	SetDefaultOutputComplexPixelType (std::string const &parameter, ComplexImagePixelType type)

void	SetDefaultOutputPixelType (std::string const &parameter, ImagePixelType type)

void	SetDefaultParameterDouble (std::string const &parameter, double value)

void	SetDefaultParameterFloat (std::string const &parameter, float value)

void	SetDefaultParameterInt (std::string const &parameter, int value)

void	SetDescription (const std::string &)

virtual void	SetDocAuthors (const std::string &)

void	SetDocExampleParameterValue (const std::string key, const std::string value, unsigned int exId=0)

virtual void	SetDocLimitations (const std::string &)

virtual void	SetDocLink (const std::string &link)

virtual void	SetDocLongDescription (const std::string &)

virtual void	SetDocSeeAlso (const std::string &)

virtual void	SetDocTags (std::vector< std::string >)

void	SetExampleComment (const std::string &comm, unsigned int i)

void	SetListViewSingleSelectionMode (std::string const &parameter, bool status)

void	SetLogger (otb::Logger *logger)

void	SetMaximumParameterDoubleValue (std::string const &parameter, double value)

void	SetMaximumParameterFloatValue (std::string const &parameter, float value)

void	SetMaximumParameterIntValue (std::string const &parameter, int value)

void	SetMinimumParameterDoubleValue (std::string const &parameter, double value)

void	SetMinimumParameterFloatValue (std::string const &parameter, float value)

void	SetMinimumParameterIntValue (std::string const &parameter, int value)

virtual void	SetName (const std::string &)

void	SetNthParameterInputImageList (std::string const &parameter, const unsigned int &id, ImageBaseType *img)

void	SetNthParameterStringList (std::string const &parameter, const unsigned int &id, const std::string &str)

void	SetOfficialDocLink ()

void	SetParameterDescription (std::string const &paramKey, std::string dec)

void	SetParameterDouble (std::string const &parameter, double value, bool hasUserValueFlag=true)

void	SetParameterFloat (std::string const &parameter, float value, bool hasUserValueFlag=true)

void	SetParameterInputImage (std::string const &parameter, ImageBaseType *inputImage)

void	SetParameterInt (std::string const &parameter, int value, bool hasUserValueFlag=true)

void	SetParameterList (ParameterGroup::Pointer paramGroup)

void	SetParameterOutputImage (std::string const &parameter, FloatVectorImageType *value)

void	SetParameterOutputImagePixelType (std::string const &parameter, ImagePixelType pixelType)

void	SetParameterOutputVectorData (std::string const &parameter, VectorDataType *value)

void	SetParameterString (std::string const &parameter, std::string value, bool hasUserValueFlag=true)

void	SetParameterStringList (std::string const &parameter, std::vector< std::string > values, bool hasUserValueFlag=true)

void	SetParameterUserValue (std::string const &paramKey, bool value)

void	SetRasterData (std::string const &key, std::string const &rasterData)

void	SetTypeFilter (std::string const &key, FieldParameter::TypeFilterType const &typeFilter)

void	SetVectorData (std::string const &key, std::string const &vectorData)

void	Stop ()

void	UpdateParameters ()

void	WriteOutput ()

ImageMetadata &	GetImageMetadata (const std::string &key, unsigned int idx=0)

void	SetImageMetadata (const ImageMetadata &imd, const std::string &key, unsigned int idx=0)

itk::MetaDataDictionary	GetMetadataDictionary (const std::string &key, unsigned int idx=0)

ImagePixelType	GetImageBasePixelType (const std::string &key, unsigned int idx=0)

ImageBaseType *	GetParameterImageBase (const std::string &key, unsigned int idx=0)

void	SetParameterImageBase (const std::string &key, ImageBaseType *img, unsigned int idx=0)

void	RegisterPipeline ()

void	FreeRessources ()

bool	IsExecuteDone ()

bool	IsMultiWritingEnabled ()

Static Public Member Functions
static Pointer	New ()

Private Member Functions
void	AddPredictionField (otb::ogr::Layer &outLayer, otb::ogr::Layer const &layer, bool computeConfidenceMap)

otb::ogr::DataSource::Pointer	CreateOutputDataSource (ogr::Layer &layer)

void	DoExecute () override

void	DoInit () override

void	DoInitSpecialization ()

void	DoUpdateParameters () override

void	FillOutputLayer (otb::ogr::Layer &outLayer, otb::ogr::Layer const &layer, typename LabelListSampleType::Pointer target, typename ConfidenceListSampleType::Pointer quality, bool updateMode, bool computeConfidenceMap)

ListSampleType::Pointer	NormalizeListSample (ListSampleType::Pointer input)

ListSampleType::Pointer	ReadInputListSample (otb::ogr::Layer const &layer)

otb::ogr::DataSource::Pointer	ReopenDataSourceInUpdateMode (ogr::DataSource::Pointer source, ogr::Layer &layer, ogr::DataSource::Pointer buffer)

bool	shouldComputeConfidenceMap () const

Private Attributes
std::string	confFieldName = "confidence"

ModelPointerType	m_Model

Additional Inherited Members
Protected Member Functions inherited from otb::Wrapper::Application
	Application ()

	~Application () override

void	AddProcess (itk::ProcessObject *object, std::string description)

void	AddChoice (std::string const &paramKey, std::string const &paramName)

void	AddParameter (ParameterType type, std::string const &paramKey, std::string const &paramName)

void	AddRAMParameter (std::string const &paramKey="ram")

void	AddRAMParameter (std::string const &paramKey, std::string const &paramName, unsigned int defaultValue)

void	AddRANDParameter (std::string const &paramKey="rand")

void	AddRANDParameter (std::string const &paramKey, std::string const &paramName, unsigned int defaultValue)

void	ClearChoices (std::string const &key)

std::vector< int >	GetSelectedItems (std::string const &paramKey)

void	MandatoryOn (std::string const &paramKey)

void	MandatoryOff (std::string const &paramKey)

void	SetParameterUserLevel (std::string const &paramKey, UserLevel level)

void	SetParameterRole (std::string const &paramKey, Role role)

template<class TImageType >
TImageType *	GetParameterImage (std::string const &parameter)

void	AutomaticValueOn (std::string const &paramKey)

void	AutomaticValueOff (std::string const &paramKey)

template<class TImageType >
void	SetParameterOutputImage (std::string const &parameter, TImageType *value)

virtual void	SetMultiWriting (bool _arg)

void	EnableInPrivateDo ()

void	DisableInPrivateDo ()

Detailed Description

template<bool RegressionMode>
class otb::Wrapper::VectorPrediction< RegressionMode >

Definition at line 48 of file otbVectorPrediction.h.

Member Typedef Documentation

◆ ConfidenceListSampleType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ConfidenceListSampleType = typename MachineLearningModelType::ConfidenceListSampleType

Definition at line 73 of file otbVectorPrediction.h.

◆ ConstPointer

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ConstPointer = itk::SmartPointer<const Self>

Definition at line 55 of file otbVectorPrediction.h.

◆ InputSampleType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::InputSampleType = itk::VariableLengthVector<ValueType>

Definition at line 79 of file otbVectorPrediction.h.

◆ LabelListSampleType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::LabelListSampleType = itk::Statistics::ListSample<LabelSampleType>

Definition at line 68 of file otbVectorPrediction.h.

◆ LabelSampleType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::LabelSampleType = itk::FixedArray<LabelType, 1>

Definition at line 67 of file otbVectorPrediction.h.

◆ LabelType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::LabelType = typename std::conditional<RegressionMode, float, unsigned int>::type

Definition at line 65 of file otbVectorPrediction.h.

◆ ListSampleType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ListSampleType = itk::Statistics::ListSample<InputSampleType>

Definition at line 80 of file otbVectorPrediction.h.

◆ MachineLearningModelFactoryType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::MachineLearningModelFactoryType = otb::MachineLearningModelFactory<ValueType, LabelType>

Definition at line 71 of file otbVectorPrediction.h.

◆ MachineLearningModelType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::MachineLearningModelType = otb::MachineLearningModel<ValueType, LabelType>

Definition at line 70 of file otbVectorPrediction.h.

◆ MeasurementType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::MeasurementType = itk::VariableLengthVector<ValueType>

Statistics Filters typedef

Definition at line 76 of file otbVectorPrediction.h.

◆ ModelPointerType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ModelPointerType = typename MachineLearningModelType::Pointer

Definition at line 72 of file otbVectorPrediction.h.

◆ Pointer

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::Pointer = itk::SmartPointer<Self>

Definition at line 54 of file otbVectorPrediction.h.

◆ Self

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::Self = VectorPrediction

Standard class typedefs.

Definition at line 52 of file otbVectorPrediction.h.

◆ ShiftScaleFilterType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ShiftScaleFilterType = otb::Statistics::ShiftScaleSampleListFilter<ListSampleType, ListSampleType>

Definition at line 81 of file otbVectorPrediction.h.

◆ StatisticsReader

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::StatisticsReader = otb::StatisticsXMLFileReader<MeasurementType>

Definition at line 77 of file otbVectorPrediction.h.

◆ Superclass

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::Superclass = Application

Definition at line 53 of file otbVectorPrediction.h.

◆ ValueType

template<bool RegressionMode>

using otb::Wrapper::VectorPrediction< RegressionMode >::ValueType = float

Filters typedef

Definition at line 63 of file otbVectorPrediction.h.

Constructor & Destructor Documentation

◆ ~VectorPrediction()

template<bool RegressionMode>

otb::Wrapper::VectorPrediction< RegressionMode >::~VectorPrediction ( )

inlineoverride

Definition at line 83 of file otbVectorPrediction.h.

References otb::MachineLearningModelFactory< TInputValue, TOutputValue >::CleanFactories().

Member Function Documentation

◆ AddPredictionField()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::AddPredictionField	(	otb::ogr::Layer &	outLayer,
		otb::ogr::Layer const &	layer,
		bool	computeConfidenceMap
	)

private

Add a prediction field in the output layer if it does not exist. If computeConfidenceMap evaluates to true a confidence field will be added.

Definition at line 199 of file otbVectorPrediction.hxx.

References otb::ogr::Layer::CreateField(), and otb::ogr::Layer::GetLayerDefn().

◆ CreateAnother()

template<bool RegressionMode>

virtual::itk::LightObject::Pointer otb::Wrapper::VectorPrediction< RegressionMode >::CreateAnother ( void ) const

◆ CreateOutputDataSource()

template<bool RegressionMode>

otb::ogr::DataSource::Pointer otb::Wrapper::VectorPrediction< RegressionMode >::CreateOutputDataSource ( ogr::Layer & layer )

private

Create the output DataSource.

Definition at line 182 of file otbVectorPrediction.hxx.

References otb::ogr::Layer::CreateField(), otb::ogr::Layer::GetGeomType(), otb::ogr::Layer::GetLayerDefn(), otb::ogr::Layer::GetSpatialRef(), otb::ogr::DataSource::New(), and otb::ogr::DataSource::Modes::Overwrite.

◆ DoExecute()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::DoExecute ( )

overrideprivatevirtual

Long and precise application description .

Implements otb::Wrapper::Application.

Definition at line 280 of file otbVectorPrediction.hxx.

References otb::ogr::DataSource::New(), otb::ogr::Layer::ogr(), otbAppLogFATAL, otbAppLogINFO, and otb::ogr::DataSource::Modes::Read.

◆ DoInit()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::DoInit ( )

overrideprivatevirtual

Long and precise application description .

Implements otb::Wrapper::Application.

Definition at line 32 of file otbVectorPrediction.hxx.

◆ DoInitSpecialization()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::DoInitSpecialization ( )

private

Method defining the parameters used in the application and their documentation, specialized for RegressionMode=1 and RegrssionMode=0

◆ DoUpdateParameters()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::DoUpdateParameters ( )

overrideprivatevirtual

Long and precise application description .

Implements otb::Wrapper::Application.

Definition at line 46 of file otbVectorPrediction.hxx.

References otb::find(), otb::ogr::DataSource::New(), and otb::ogr::DataSource::Modes::Read.

◆ FillOutputLayer()

template<bool RegressionMode>

void otb::Wrapper::VectorPrediction< RegressionMode >::FillOutputLayer	(	otb::ogr::Layer &	outLayer,
		otb::ogr::Layer const &	layer,
		typename LabelListSampleType::Pointer	target,
		typename ConfidenceListSampleType::Pointer	quality,
		bool	updateMode,
		bool	computeConfidenceMap
	)

private

Fill the output layer with the predicted values and optionally the confidence

Definition at line 239 of file otbVectorPrediction.hxx.

References otb::ogr::Layer::CreateFeature(), otb::ogr::Layer::GetLayerDefn(), otb::ogr::Layer::SetFeature(), otb::ogr::Feature::SetFID(), and otb::ogr::Feature::SetFrom().

◆ GetNameOfClass()

template<bool RegressionMode>

virtual const char* otb::Wrapper::VectorPrediction< RegressionMode >::GetNameOfClass ( ) const

virtual

RTTI support

Reimplemented from otb::Wrapper::Application.

◆ New()

template<bool RegressionMode>

static Pointer otb::Wrapper::VectorPrediction< RegressionMode >::New ( )

static

Standard macro

◆ NormalizeListSample()

template<bool RegressionMode>

VectorPrediction< RegressionMode >::ListSampleType::Pointer otb::Wrapper::VectorPrediction< RegressionMode >::NormalizeListSample ( ListSampleType::Pointer input )

private

Normalize a list sample using the statistic file given

Definition at line 127 of file otbVectorPrediction.hxx.

References otbAppLogINFO.

◆ ReadInputListSample()

template<bool RegressionMode>

VectorPrediction< RegressionMode >::ListSampleType::Pointer otb::Wrapper::VectorPrediction< RegressionMode >::ReadInputListSample ( otb::ogr::Layer const & layer )

private

Method returning the input list sample from the input layer

Definition at line 80 of file otbVectorPrediction.hxx.

References otb::ogr::Layer::cbegin(), and otbAppLogFATAL.

◆ ReopenDataSourceInUpdateMode()

template<bool RegressionMode>

otb::ogr::DataSource::Pointer otb::Wrapper::VectorPrediction< RegressionMode >::ReopenDataSourceInUpdateMode	(	ogr::DataSource::Pointer	source,
		ogr::Layer &	layer,
		ogr::DataSource::Pointer	buffer
	)

private

Update the output DataSource : the input layer is buffered and the input data source is re opened in update mode.

Definition at line 165 of file otbVectorPrediction.hxx.

References otb::ogr::DataSource::New(), otbAppLogINFO, and otb::ogr::DataSource::Modes::Update_LayerUpdate.

◆ shouldComputeConfidenceMap()

template<bool RegressionMode>

bool otb::Wrapper::VectorPrediction< RegressionMode >::shouldComputeConfidenceMap ( ) const

private

Method returning whether the confidence map should be computed, depending on the regression mode and input parameters

Member Data Documentation

◆ confFieldName

template<bool RegressionMode>

std::string otb::Wrapper::VectorPrediction< RegressionMode >::confFieldName = "confidence"

private

Name used for the confidence field

Definition at line 126 of file otbVectorPrediction.h.

◆ m_Model

template<bool RegressionMode>

ModelPointerType otb::Wrapper::VectorPrediction< RegressionMode >::m_Model

private

Definition at line 123 of file otbVectorPrediction.h.

The documentation for this class was generated from the following files:

Public Types

Public Member Functions

Static Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

template<bool RegressionMode> class otb::Wrapper::VectorPrediction< RegressionMode >

Member Typedef Documentation

◆ ConfidenceListSampleType

◆ ConstPointer

◆ InputSampleType

◆ LabelListSampleType

◆ LabelSampleType

◆ LabelType

◆ ListSampleType

◆ MachineLearningModelFactoryType

◆ MachineLearningModelType

◆ MeasurementType

◆ ModelPointerType

◆ Pointer

◆ Self

◆ ShiftScaleFilterType

◆ StatisticsReader

◆ Superclass

◆ ValueType

Constructor & Destructor Documentation

◆ ~VectorPrediction()

Member Function Documentation

◆ AddPredictionField()

◆ CreateAnother()

◆ CreateOutputDataSource()

◆ DoExecute()

◆ DoInit()

◆ DoInitSpecialization()

◆ DoUpdateParameters()

◆ FillOutputLayer()

◆ GetNameOfClass()

◆ New()

◆ NormalizeListSample()

◆ ReadInputListSample()

◆ ReopenDataSourceInUpdateMode()

◆ shouldComputeConfidenceMap()

Member Data Documentation

◆ confFieldName

◆ m_Model

template<bool RegressionMode>
class otb::Wrapper::VectorPrediction< RegressionMode >