Medical Imaging Interaction Toolkit  2018.4.99-389bf124
Medical Imaging Interaction Toolkit
Public Member Functions | Public Attributes | List of all members
mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag > Class Template Reference

#include <mitkThresholdSplit.h>

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

Definition at line 19 of file mitkThresholdSplit.cpp.

Member Function Documentation

◆ bestSplitColumn()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
int mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitColumn ( ) const

Definition at line 151 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ bestSplitThreshold()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitThreshold ( ) const

Definition at line 158 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ findBestSplit()

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 182 of file mitkThresholdSplit.cpp.

References k(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::region_gini_, and swap().

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ GetAdditionalData()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
mitk::AdditionalRFDataAbstract * mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetAdditionalData ( ) const

Definition at line 50 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ GetFeatureCalculator()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
TFeatureCalculator mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetFeatureCalculator ( ) const

Definition at line 64 of file mitkThresholdSplit.cpp.

◆ GetMaximumTreeDepth()

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

Definition at line 121 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ GetPrecision()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetPrecision ( ) const

Definition at line 107 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ GetWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
vigra::MultiArrayView< 2, double > mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetWeights ( ) const

Definition at line 137 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ IsCalculatingFeature()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
bool mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsCalculatingFeature ( ) const

Definition at line 78 of file mitkThresholdSplit.cpp.

◆ IsUsingPointBasedWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
bool mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingPointBasedWeights ( ) const

Definition at line 93 of file mitkThresholdSplit.cpp.

◆ 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.

References mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitColumn(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::bestSplitThreshold(), features, mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::findBestSplit(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetAdditionalData(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetMaximumTreeDepth(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetPrecision(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::GetWeights(), Json::in(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::minGini(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::set_external_parameters(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetAdditionalData(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetMaximumTreeDepth(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetPrecision(), and mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetWeights().

◆ minGini()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
double mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::minGini ( ) const

Definition at line 144 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ set_external_parameters()

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 166 of file mitkThresholdSplit.cpp.

References k().

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit().

◆ SetAdditionalData()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetAdditionalData ( AdditionalRFDataAbstract *  data)

Definition at line 42 of file mitkThresholdSplit.cpp.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit(), mitk::PURFClassifier::Predict(), and mitk::PURFClassifier::Train().

◆ SetCalculatingFeature()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetCalculatingFeature ( bool  calculate)

Definition at line 71 of file mitkThresholdSplit.cpp.

◆ SetFeatureCalculator()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetFeatureCalculator ( TFeatureCalculator  processor)

Definition at line 57 of file mitkThresholdSplit.cpp.

◆ SetMaximumTreeDepth()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetMaximumTreeDepth ( int  value)

Definition at line 114 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::GetTreeWeights(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit(), mitk::PURFClassifier::Predict(), mitk::VigraRandomForestClassifier::Train(), and mitk::PURFClassifier::Train().

◆ SetPrecision()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetPrecision ( double  value)

Definition at line 100 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::GetTreeWeights(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit(), mitk::PURFClassifier::Predict(), mitk::VigraRandomForestClassifier::Train(), and mitk::PURFClassifier::Train().

◆ SetWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::SetWeights ( vigra::MultiArrayView< 2, double >  weights)

Definition at line 128 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::GetTreeWeights(), mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::IsUsingRandomSplit(), mitk::PURFClassifier::Predict(), mitk::VigraRandomForestClassifier::Train(), and mitk::PURFClassifier::Train().

◆ UsePointBasedWeights()

template<class TColumnDecisionFunctor , class TFeatureCalculator , class TTag >
void mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::UsePointBasedWeights ( bool  weightsOn)

Definition at line 85 of file mitkThresholdSplit.cpp.

Referenced by mitk::VigraRandomForestClassifier::GetTreeWeights(), mitk::PURFClassifier::Predict(), mitk::VigraRandomForestClassifier::Train(), and mitk::PURFClassifier::Train().

◆ 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.

Referenced by mitk::VigraRandomForestClassifier::GetTreeWeights(), mitk::PURFClassifier::Predict(), mitk::VigraRandomForestClassifier::Train(), and mitk::PURFClassifier::Train().

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.

Referenced by mitk::ThresholdSplit< TColumnDecisionFunctor, TFeatureCalculator, TTag >::findBestSplit().

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