mitk::LinearSplitting< TLossAccumulator > Class Template Reference

#include <mitkLinearSplitting.h>

Public Types
typedef TLossAccumulator::WeightContainerType	TWeightContainer
typedef TWeightContainer	WeightContainerType

Public Member Functions
	LinearSplitting ()
template<class T >
	LinearSplitting (vigra::ProblemSpec< T > const &ext)
void	UsePointWeights (bool pointWeight)
bool	IsUsingPointWeights ()
void	UseRandomSplit (bool randomSplit)
bool	IsUsingRandomSplit ()
void	SetPointWeights (WeightContainerType weight)
WeightContainerType	GetPointWeights ()
void	SetAdditionalData (AdditionalRFDataAbstract *data)
AdditionalRFDataAbstract *	GetAdditionalData () const
template<class T >
void	set_external_parameters (vigra::ProblemSpec< T > const &ext)
template<class TDataSourceFeature , class TDataSourceLabel , class TDataIterator , class TArray >
void	operator() (TDataSourceFeature const &column, TDataSourceLabel const &labels, TDataIterator &begin, TDataIterator &end, TArray const &regionResponse)
template<class TDataSourceLabel , class TDataIterator , class TArray >
double	LossOfRegion (TDataSourceLabel const &labels, TDataIterator &begin, TDataIterator &end, TArray const &regionResponse)
double	GetMinimumLoss ()
double	GetMinimumThreshold ()
std::ptrdiff_t	GetMinimumIndex ()
vigra::ArrayVector< double > *	GetBestCurrentCounts ()

Detailed Description

template<class TLossAccumulator>
class mitk::LinearSplitting< TLossAccumulator >

Definition at line 23 of file mitkLinearSplitting.h.

Member Typedef Documentation

TWeightContainer

template<class TLossAccumulator >

typedef TLossAccumulator::WeightContainerType mitk::LinearSplitting< TLossAccumulator >::TWeightContainer

Definition at line 26 of file mitkLinearSplitting.h.

WeightContainerType

template<class TLossAccumulator >

typedef TWeightContainer mitk::LinearSplitting< TLossAccumulator >::WeightContainerType

Definition at line 27 of file mitkLinearSplitting.h.

Constructor & Destructor Documentation

LinearSplitting() [1/2]

template<class TLossAccumulator >

mitk::LinearSplitting< TLossAccumulator >::LinearSplitting

(

)

LinearSplitting() [2/2]

template<class TLossAccumulator >

template<class T >

mitk::LinearSplitting< TLossAccumulator >::LinearSplitting

(

vigra::ProblemSpec< T > const &

ext

)

Member Function Documentation

GetAdditionalData()

template<class TLossAccumulator >

AdditionalRFDataAbstract* mitk::LinearSplitting< TLossAccumulator >::GetAdditionalData

(

)

const

GetBestCurrentCounts()

template<class TLossAccumulator >

vigra::ArrayVector<double>* mitk::LinearSplitting< TLossAccumulator >::GetBestCurrentCounts ( )

inline

Definition at line 82 of file mitkLinearSplitting.h.

GetMinimumIndex()

template<class TLossAccumulator >

std::ptrdiff_t mitk::LinearSplitting< TLossAccumulator >::GetMinimumIndex ( )

inline

Definition at line 77 of file mitkLinearSplitting.h.

GetMinimumLoss()

template<class TLossAccumulator >

double mitk::LinearSplitting< TLossAccumulator >::GetMinimumLoss ( )

inline

Definition at line 67 of file mitkLinearSplitting.h.

GetMinimumThreshold()

template<class TLossAccumulator >

double mitk::LinearSplitting< TLossAccumulator >::GetMinimumThreshold ( )

inline

Definition at line 72 of file mitkLinearSplitting.h.

GetPointWeights()

template<class TLossAccumulator >

WeightContainerType mitk::LinearSplitting< TLossAccumulator >::GetPointWeights

(

)

IsUsingPointWeights()

template<class TLossAccumulator >

bool mitk::LinearSplitting< TLossAccumulator >::IsUsingPointWeights

(

)

IsUsingRandomSplit()

template<class TLossAccumulator >

bool mitk::LinearSplitting< TLossAccumulator >::IsUsingRandomSplit

(

)

LossOfRegion()

template<class TLossAccumulator >

template<class TDataSourceLabel , class TDataIterator , class TArray >

double mitk::LinearSplitting< TLossAccumulator >::LossOfRegion	(	TDataSourceLabel const &	labels,
		TDataIterator &	begin,
		TDataIterator &	end,
		TArray const &	regionResponse
	)

operator()()

template<class TLossAccumulator >

template<class TDataSourceFeature , class TDataSourceLabel , class TDataIterator , class TArray >

void mitk::LinearSplitting< TLossAccumulator >::operator()	(	TDataSourceFeature const &	column,
		TDataSourceLabel const &	labels,
		TDataIterator &	begin,
		TDataIterator &	end,
		TArray const &	regionResponse
	)

set_external_parameters()

template<class TLossAccumulator >

template<class T >

void mitk::LinearSplitting< TLossAccumulator >::set_external_parameters

(

vigra::ProblemSpec< T > const &

ext

)

SetAdditionalData()

template<class TLossAccumulator >

void mitk::LinearSplitting< TLossAccumulator >::SetAdditionalData

(

AdditionalRFDataAbstract *

data

)

SetPointWeights()

template<class TLossAccumulator >

void mitk::LinearSplitting< TLossAccumulator >::SetPointWeights

(

WeightContainerType

weight

)

UsePointWeights()

template<class TLossAccumulator >

void mitk::LinearSplitting< TLossAccumulator >::UsePointWeights

(

bool

pointWeight

)

UseRandomSplit()

template<class TLossAccumulator >

void mitk::LinearSplitting< TLossAccumulator >::UseRandomSplit

(

bool

randomSplit

)

---

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

• mitkLinearSplitting.h