#include <otbTrainVectorBase.h>

Inheritance diagram for otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >:

Collaboration diagram for otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >:

Classes
class	FeaturesInfo

class	SamplesWithLabel

class	ShiftScaleParameters

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer

typedef Superclass::ListSampleType	ListSampleType

typedef itk::VariableLengthVector< ValueType >	MeasurementType

typedef itk::SmartPointer< Self >	Pointer

typedef Superclass::SampleType	SampleType

typedef TrainVectorBase	Self

typedef otb::Statistics::ShiftScaleSampleListFilter< ListSampleType, ListSampleType >	ShiftScaleFilterType

typedef otb::StatisticsXMLFileReader< SampleType >	StatisticsReader

typedef LearningApplicationBase< TInputValue, TOutputValue >	Superclass

typedef Superclass::TargetListSampleType	TargetListSampleType

typedef double	ValueType

Public Types inherited from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >
enum	ClassifierCategory { Supervised, Unsupervised }

typedef itk::SmartPointer< const Self >	ConstPointer

typedef TInputValue	InputValueType

typedef ModelType::InputListSampleType	ListSampleType

typedef otb::MachineLearningModelFactory< InputValueType, OutputValueType >	ModelFactoryType

typedef ModelFactoryType::MachineLearningModelTypePointer	ModelPointerType

typedef ModelFactoryType::MachineLearningModelType	ModelType

typedef TOutputValue	OutputValueType

typedef SampleImageType::PixelType	PixelType

typedef itk::SmartPointer< Self >	Pointer

typedef otb::VectorImage< InputValueType >	SampleImageType

typedef ModelType::InputSampleType	SampleType

typedef LearningApplicationBase	Self

typedef Application	Superclass

typedef ModelType::TargetListSampleType	TargetListSampleType

typedef ModelType::TargetSampleType	TargetSampleType

typedef ModelType::TargetValueType	TargetValueType

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 const char *	GetNameOfClass () const

Public Member Functions inherited from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >
ClassifierCategory	GetClassifierCategory ()

virtual const std::vector< std::string > &	GetSupervisedClassifier () const

virtual const std::vector< std::string > &	GetUnsupervisedClassifier () const

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	FreeResources ()

bool	IsExecuteDone ()

bool	IsMultiWritingEnabled ()

SamplesWithLabel	m_TrainingSamplesWithLabel

SamplesWithLabel	m_ClassificationSamplesWithLabel

TargetListSampleType::Pointer	m_PredictedList

FeaturesInfo	m_FeaturesInfo

virtual void	ExtractAllSamples (const ShiftScaleParameters &measurement)

virtual SamplesWithLabel	ExtractTrainingSamplesWithLabel (const ShiftScaleParameters &measurement)

virtual SamplesWithLabel	ExtractClassificationSamplesWithLabel (const ShiftScaleParameters &measurement)

SamplesWithLabel	ExtractSamplesWithLabel (std::string parameterName, std::string parameterLayer, const ShiftScaleParameters &measurement)

ShiftScaleParameters	GetStatistics (unsigned int nbFeatures)

void	DoInit () override

void	DoUpdateParameters () override

void	DoExecute () override

Additional Inherited Members
Protected Member Functions inherited from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >
TargetListSampleType::Pointer	Classify (typename ListSampleType::Pointer validationListSample, std::string modelPath)

	LearningApplicationBase ()

void	Train (typename ListSampleType::Pointer trainingListSample, typename TargetListSampleType::Pointer trainingLabeledListSample, std::string modelPath)

	~LearningApplicationBase () override

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 ()

Protected Attributes inherited from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >
bool	m_RegressionFlag

Detailed Description

template<class TInputValue, class TOutputValue>
class otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >

Definition at line 47 of file otbTrainVectorBase.h.

Member Typedef Documentation

◆ ConstPointer

template<class TInputValue , class TOutputValue >

typedef itk::SmartPointer<const Self> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ConstPointer

Definition at line 54 of file otbTrainVectorBase.h.

◆ ListSampleType

template<class TInputValue , class TOutputValue >

typedef Superclass::ListSampleType otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ListSampleType

Definition at line 60 of file otbTrainVectorBase.h.

◆ MeasurementType

template<class TInputValue , class TOutputValue >

typedef itk::VariableLengthVector<ValueType> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::MeasurementType

Definition at line 64 of file otbTrainVectorBase.h.

◆ Pointer

template<class TInputValue , class TOutputValue >

typedef itk::SmartPointer<Self> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::Pointer

Definition at line 53 of file otbTrainVectorBase.h.

◆ SampleType

template<class TInputValue , class TOutputValue >

typedef Superclass::SampleType otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::SampleType

Definition at line 57 of file otbTrainVectorBase.h.

◆ Self

template<class TInputValue , class TOutputValue >

typedef TrainVectorBase otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::Self

Standard class typedefs.

Definition at line 51 of file otbTrainVectorBase.h.

◆ ShiftScaleFilterType

template<class TInputValue , class TOutputValue >

typedef otb::Statistics::ShiftScaleSampleListFilter<ListSampleType, ListSampleType> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleFilterType

Definition at line 68 of file otbTrainVectorBase.h.

◆ StatisticsReader

template<class TInputValue , class TOutputValue >

typedef otb::StatisticsXMLFileReader<SampleType> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::StatisticsReader

Definition at line 66 of file otbTrainVectorBase.h.

◆ Superclass

template<class TInputValue , class TOutputValue >

typedef LearningApplicationBase<TInputValue, TOutputValue> otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::Superclass

Definition at line 52 of file otbTrainVectorBase.h.

◆ TargetListSampleType

template<class TInputValue , class TOutputValue >

typedef Superclass::TargetListSampleType otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::TargetListSampleType

Definition at line 61 of file otbTrainVectorBase.h.

◆ ValueType

template<class TInputValue , class TOutputValue >

typedef double otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ValueType

Definition at line 63 of file otbTrainVectorBase.h.

Member Function Documentation

◆ DoExecute()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::DoExecute

overrideprotectedvirtual

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Implements otb::Wrapper::Application.

Definition at line 140 of file otbTrainVectorBase.hxx.

References otbAppLogFATAL.

◆ DoInit()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::DoInit

overrideprotectedvirtual

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Reimplemented from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >.

Definition at line 31 of file otbTrainVectorBase.hxx.

References otb::Wrapper::ParameterType_Bool, otb::Wrapper::ParameterType_Field, otb::Wrapper::ParameterType_Group, otb::Wrapper::ParameterType_InputFilename, otb::Wrapper::ParameterType_InputVectorDataList, otb::Wrapper::ParameterType_Int, and otb::Wrapper::ParameterType_OutputFilename.

◆ DoUpdateParameters()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::DoUpdateParameters

overrideprotectedvirtual

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Implements otb::Wrapper::Application.

Definition at line 101 of file otbTrainVectorBase.hxx.

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

◆ ExtractAllSamples()

template<class TInputValue , class TOutputValue >

void otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ExtractAllSamples ( const ShiftScaleParameters & measurement )

protectedvirtual

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Definition at line 159 of file otbTrainVectorBase.hxx.

◆ ExtractClassificationSamplesWithLabel()

template<class TInputValue , class TOutputValue >

TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ExtractClassificationSamplesWithLabel ( const ShiftScaleParameters & measurement )

protectedvirtual

Extract classification the sample list

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Returns: sample list used for classification

Definition at line 174 of file otbTrainVectorBase.hxx.

References otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel::labeledListSample, otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel::listSample, and otbAppLogWARNING.

◆ ExtractSamplesWithLabel()

template<class TInputValue , class TOutputValue >

TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ExtractSamplesWithLabel	(	std::string	parameterName,
		std::string	parameterLayer,
		const ShiftScaleParameters &	measurement
	)

protected

Extract samples from input file for corresponding field name

Parameters

parameterName	the name of the input file option in the input application parameters
parameterLayer	the name of the layer option in the input application parameters
measurement	statics measurement (mean/stddev)
nbFeatures	the number of features.

Returns: the list of samples and their corresponding labels.

Definition at line 225 of file otbTrainVectorBase.hxx.

References otb::ogr::Feature::addr(), otb::Wrapper::MetaDataHelper::GetType(), otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel::labeledListSample, otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel::listSample, otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleParameters::meanMeasurementVector, otb::ogr::DataSource::New(), otb::ogr::Feature::ogr(), otb::ogr::Layer::ogr(), otbAppLogFATAL, otbAppLogINFO, otbAppLogWARNING, otb::ogr::DataSource::Modes::Read, and otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleParameters::stddevMeasurementVector.

◆ ExtractTrainingSamplesWithLabel()

template<class TInputValue , class TOutputValue >

TrainVectorBase< TInputValue, TOutputValue >::SamplesWithLabel otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ExtractTrainingSamplesWithLabel ( const ShiftScaleParameters & measurement )

protectedvirtual

Extract the training sample list

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Returns: sample list used for training

Definition at line 167 of file otbTrainVectorBase.hxx.

◆ GetNameOfClass()

template<class TInputValue , class TOutputValue >

virtual const char* otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::GetNameOfClass ( ) const

virtual

Standard macro

Reimplemented from otb::Wrapper::LearningApplicationBase< TInputValue, TOutputValue >.

◆ GetStatistics()

template<class TInputValue , class TOutputValue >

TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleParameters otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::GetStatistics ( unsigned int nbFeatures )

protected

Retrieve statistics mean and standard deviation if input statistics are provided. Otherwise mean is set to 0 and standard deviation to 1 for each Features.

Parameters

nbFeatures

Definition at line 202 of file otbTrainVectorBase.hxx.

References otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleParameters::meanMeasurementVector, and otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::ShiftScaleParameters::stddevMeasurementVector.

Member Data Documentation

◆ m_ClassificationSamplesWithLabel

template<class TInputValue , class TOutputValue >

SamplesWithLabel otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::m_ClassificationSamplesWithLabel

protected

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Definition at line 180 of file otbTrainVectorBase.h.

◆ m_FeaturesInfo

template<class TInputValue , class TOutputValue >

FeaturesInfo otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::m_FeaturesInfo

protected

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Definition at line 182 of file otbTrainVectorBase.h.

◆ m_PredictedList

template<class TInputValue , class TOutputValue >

TargetListSampleType::Pointer otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::m_PredictedList

protected

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Definition at line 181 of file otbTrainVectorBase.h.

◆ m_TrainingSamplesWithLabel

template<class TInputValue , class TOutputValue >

SamplesWithLabel otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >::m_TrainingSamplesWithLabel

protected

Function which extract and store all samples for Training and Classification.

Parameters

measurement	statics measurement (mean/stddev)
featuresInfo	information about the features

Definition at line 179 of file otbTrainVectorBase.h.

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

Classes

Public Types

Public Member Functions

Additional Inherited Members

Detailed Description

template<class TInputValue, class TOutputValue> class otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >

Member Typedef Documentation

◆ ConstPointer

◆ ListSampleType

◆ MeasurementType

◆ Pointer

◆ SampleType

◆ Self

◆ ShiftScaleFilterType

◆ StatisticsReader

◆ Superclass

◆ TargetListSampleType

◆ ValueType

Member Function Documentation

◆ DoExecute()

◆ DoInit()

◆ DoUpdateParameters()

◆ ExtractAllSamples()

◆ ExtractClassificationSamplesWithLabel()

◆ ExtractSamplesWithLabel()

◆ ExtractTrainingSamplesWithLabel()

◆ GetNameOfClass()

◆ GetStatistics()

Member Data Documentation

◆ m_ClassificationSamplesWithLabel

◆ m_FeaturesInfo

◆ m_PredictedList

◆ m_TrainingSamplesWithLabel

template<class TInputValue, class TOutputValue>
class otb::Wrapper::TrainVectorBase< TInputValue, TOutputValue >