mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > Class Template Reference

#include <mitkThresholdSplit.h>

Inheritance diagram for mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >:

Collaboration diagram for mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >:

Public Member Functions
	ThresholdSplit ()
void	SetFeatureCalculator (TFeatureCalculator processor)
TFeatureCalculator	GetFeatureCalculator () const
void	SetCalculatingFeature (bool calculate)
bool	IsCalculatingFeature () const
void	UsePointBasedWeights (bool weightsOn)
bool	IsUsingPointBasedWeights () const
void	UseRandomSplit (bool split)
bool	IsUsingRandomSplit () const
void	SetPrecision (double value)
double	GetPrecision () const
void	SetMaximumTreeDepth (int value)
int	GetMaximumTreeDepth () const override
void	SetAdditionalData (AdditionalRFDataAbstract *data)
AdditionalRFDataAbstract *	GetAdditionalData () const
void	SetWeights (vigra::MultiArrayView< 2, double > weights)
vigra::MultiArrayView< 2, double >	GetWeights () const
double	minGini () const
int	bestSplitColumn () const
double	bestSplitThreshold () const
template<class T >
void	set_external_parameters (vigra::ProblemSpec< T > const &in)
template<class T , class C , class T2 , class C2 , class Region , class Random >
int	findBestSplit (vigra::MultiArrayView< 2, T, C > features, vigra::MultiArrayView< 2, T2, C2 > labels, Region &region, vigra::ArrayVector< Region > &childRegions, Random &randint)

Public Attributes
double	region_gini_

Detailed Description

template<class TColumnDecisionFunctor, class TFeatureCalculator, class TTag = vigra::ClassificationTag>
class mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >

Definition at line 23 of file mitkThresholdSplit.h.

Constructor & Destructor Documentation

ThresholdSplit()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::ThresholdSplit

(

)

Member Function Documentation

bestSplitColumn()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

int mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitColumn

(

)

const

bestSplitThreshold()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitThreshold

(

)

const

findBestSplit()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

template<class T , class C , class T2 , class C2 , class Region , class Random >

int mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::findBestSplit	(	vigra::MultiArrayView< 2, T, C >	features,
		vigra::MultiArrayView< 2, T2, C2 >	labels,
		Region &	region,
		vigra::ArrayVector< Region > &	childRegions,
		Random &	randint
	)

GetAdditionalData()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

AdditionalRFDataAbstract* mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetAdditionalData

(

)

const

GetFeatureCalculator()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

TFeatureCalculator mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetFeatureCalculator

(

)

const

GetMaximumTreeDepth()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

int mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetMaximumTreeDepth ( ) const

override

GetPrecision()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetPrecision

(

)

const

GetWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

vigra::MultiArrayView<2, double> mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetWeights

(

)

const

IsCalculatingFeature()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

bool mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsCalculatingFeature

(

)

const

IsUsingPointBasedWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

bool mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingPointBasedWeights

(

)

const

IsUsingRandomSplit()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

bool mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit ( ) const

inline

Definition at line 39 of file mitkThresholdSplit.h.

minGini()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::minGini

(

)

const

set_external_parameters()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

template<class T >

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::set_external_parameters

(

vigra::ProblemSpec< T > const &

in

)

SetAdditionalData()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetAdditionalData

(

AdditionalRFDataAbstract *

data

)

SetCalculatingFeature()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetCalculatingFeature

(

bool

calculate

)

SetFeatureCalculator()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetFeatureCalculator

(

TFeatureCalculator

processor

)

SetMaximumTreeDepth()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetMaximumTreeDepth

(

int

value

)

SetPrecision()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetPrecision

(

double

value

)

SetWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetWeights

(

vigra::MultiArrayView< 2, double >

weights

)

UsePointBasedWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::UsePointBasedWeights

(

bool

weightsOn

)

UseRandomSplit()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::UseRandomSplit ( bool  split )

inline

Definition at line 38 of file mitkThresholdSplit.h.

Member Data Documentation

region_gini_

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag = vigra::ClassificationTag>

double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::region_gini_

Definition at line 68 of file mitkThresholdSplit.h.

---

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

• mitkThresholdSplit.h