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)
virtual int	GetMaximumTreeDepth () 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 10 of file mitkThresholdSplit.h.

Constructor & Destructor Documentation

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

Definition at line 7 of file mitkThresholdSplit.cpp.

Member Function Documentation

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 124 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 131 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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
	)

Definition at line 155 of file mitkThresholdSplit.cpp.

References swap().

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 37 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

virtual

Definition at line 94 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 80 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 110 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 51 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 66 of file mitkThresholdSplit.cpp.

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

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

inline

Definition at line 26 of file mitkThresholdSplit.h.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

)

const

Definition at line 117 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

template<class T >

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

(

vigra::ProblemSpec< T > const &

in

)

Definition at line 139 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

bool

calculate

)

Definition at line 44 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

TFeatureCalculator

processor

)

Definition at line 30 of file mitkThresholdSplit.cpp.

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

int

value

)

Definition at line 87 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::Train().

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

double

value

)

Definition at line 73 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::Train().

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

vigra::MultiArrayView< 2, double >

weights

)

Definition at line 101 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::Train().

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >

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

(

bool

weightsOn

)

Definition at line 58 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::Train().

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

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

inline

Definition at line 25 of file mitkThresholdSplit.h.

References split().

Referenced by mitk::VigraRandomForestClassifier::Train().

Member Data Documentation

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

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

Definition at line 52 of file mitkThresholdSplit.h.

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

• mitkThresholdSplit.h
• mitkThresholdSplit.cpp