faif::ml::TrainExampleCategoryCounters< Val > Class Template Reference

#include <Classifier.hpp>

Collaboration diagram for faif::ml::TrainExampleCategoryCounters< Val >:

Public Types
typedef Classifier< Val >::AttrDomain	AttrDomain
typedef Classifier< Val >::Domains	Domains
typedef Classifier< Val >::AttrIdd	AttrIdd
typedef Classifier< Val >::Beliefs	Beliefs
typedef Classifier< Val >::ExampleTrain	ExampleTrain
typedef Classifier< Val >::ExamplesTrain	ExamplesTrain
typedef std::map< AttrIdd, int >	Counters

Public Member Functions
	TrainExampleCategoryCounters ()
	c-tor, empty counters More...
	TrainExampleCategoryCounters (typename ExamplesTrain::const_iterator beg, typename ExamplesTrain::const_iterator end)
	c-tor, counters initialized by train examples collection More...
void	inc (const ExampleTrain &e)
AttrIdd	maxCount () const
const Counters &	get () const
	access to counters More...
int	getSum () const
	optimization: instead of accumulate all values from counters container keep the integer member More...
double	entropy () const
	entropy of counters More...
Beliefs	getHistogram () const
	histogram from counters - Beliefs class where each position is counter divided by counters sum. More...

Detailed Description

template<typename Val>
class faif::ml::TrainExampleCategoryCounters< Val >

helping functor for calculate histogram based on categories for collection of train examples. It could be used to find major category.

Constructor & Destructor Documentation

template<typename Val>

faif::ml::TrainExampleCategoryCounters< Val >::TrainExampleCategoryCounters ( )

inline

c-tor, empty counters

template<typename Val>

faif::ml::TrainExampleCategoryCounters< Val >::TrainExampleCategoryCounters ( typename ExamplesTrain::const_iterator  beg, typename ExamplesTrain::const_iterator  end  )

inline

c-tor, counters initialized by train examples collection

Member Function Documentation

template<typename Val>

const Counters& faif::ml::TrainExampleCategoryCounters< Val >::get ( ) const

inline

access to counters

Referenced by faif::ml::DecisionTree< Val >::prune().

template<typename Val>

int faif::ml::TrainExampleCategoryCounters< Val >::getSum ( ) const

inline

optimization: instead of accumulate all values from counters container keep the integer member

Referenced by faif::ml::DecisionTree< Val >::prune().

template<typename Val>

double faif::ml::TrainExampleCategoryCounters< Val >::entropy ( ) const

inline

entropy of counters

References faif::ml::calcEntropy().

Referenced by faif::ml::Classifier< Val >::ExamplesTrain::entropy(), and faif::ml::DecisionTree< Val >::prune().

template<typename Val>

Beliefs faif::ml::TrainExampleCategoryCounters< Val >::getHistogram ( ) const

inline

histogram from counters - Beliefs class where each position is counter divided by counters sum.

Histogram is sorted from biggest to smallest probability

Referenced by faif::ml::DecisionTree< Val >::prune().

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

• faif/learning/Classifier.hpp