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

Naive Bayesian Classifier. More...

#include <NaiveBayesian.hpp>

Inheritance diagram for faif::ml::NaiveBayesian< Val >:

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

Public Types
typedef Classifier< Val >::AttrValue	AttrValue
typedef Classifier< Val >::AttrDomain	AttrDomain
typedef Classifier< Val >::AttrIdd	AttrIdd
typedef Classifier< Val >::AttrIddSerialize	AttrIddSerialize
typedef Classifier< Val >::Domains	Domains
typedef Classifier< Val >::Beliefs	Beliefs
typedef Classifier< Val >::ExampleTest	ExampleTest
typedef Classifier< Val >::ExampleTrain	ExampleTrain
typedef Classifier< Val >::ExamplesTrain	ExamplesTrain
typedef Val	Value

Public Member Functions
	NaiveBayesian (const Domains &attr_domains, const AttrDomain &category_domain)
virtual void	reset ()
virtual void	train (const ExamplesTrain &e)
	learn classifier (on the collection of training examples) More...
virtual AttrIdd	getCategory (const ExampleTest &) const
virtual Beliefs	getCategories (const ExampleTest &) const
	classify and return all classes with belief that the example is from given class More...
void	trainIncremental (const ExampleTrain &)
virtual void	write (std::ostream &os) const
AttrIdd	switchGetCategory (const ExampleTest &example)
Beliefs	switchGetCategories (const ExampleTest &example)
void	switchAddTraining (const ExampleTrain &example)
void	switchLoadSaveState ()
const Domains &	getAttrDomains () const
	accessor More...
const AttrDomain &	getCategoryDomain () const
	accessor More...
AttrIdd	getCategoryIdd (const AttrValue &val) const
	accessor (helper) More...

Friends
class	boost::serialization::access
	serialization using boost::serialization More...

Detailed Description

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

Naive Bayesian Classifier.

Contains the attributes, attribute values and categories, train examples, test examples and classifier methods.

Member Function Documentation

template<typename Val >

void faif::ml::NaiveBayesian< Val >::reset ( )

virtual

the clear the learned parameters

Implements faif::ml::Classifier< Val >.

Referenced by faif::ml::NaiveBayesian< Val >::switchAddTraining().

template<typename Val>

virtual void faif::ml::NaiveBayesian< Val >::train ( const ExamplesTrain &  e )

inlinevirtual

learn classifier (on the collection of training examples)

Implements faif::ml::Classifier< Val >.

References faif::ml::NaiveBayesian< Val >::getCategories(), faif::ml::NaiveBayesian< Val >::getCategory(), faif::ml::NaiveBayesian< Val >::switchAddTraining(), faif::ml::NaiveBayesian< Val >::switchGetCategories(), faif::ml::NaiveBayesian< Val >::switchGetCategory(), faif::ml::NaiveBayesian< Val >::switchLoadSaveState(), faif::ml::NaiveBayesian< Val >::trainIncremental(), and faif::ml::NaiveBayesian< Val >::write().

template<typename Val >

NaiveBayesian< Val >::AttrIdd faif::ml::NaiveBayesian< Val >::getCategory ( const ExampleTest &  example ) const

virtual

classify (Naive Bayes Classifier)

Implements faif::ml::Classifier< Val >.

Referenced by faif::ml::NaiveBayesian< Val >::switchGetCategory(), and faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

NaiveBayesian< Val >::Beliefs faif::ml::NaiveBayesian< Val >::getCategories ( const ExampleTest &  example ) const

virtual

classify and return all classes with belief that the example is from given class

classify and return all classes with belief that the example is from each class

Implements faif::ml::Classifier< Val >.

Referenced by faif::ml::NaiveBayesian< Val >::switchGetCategories(), and faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

void faif::ml::NaiveBayesian< Val >::trainIncremental

(

const ExampleTrain &

example

)

incremental learn - add training example

Referenced by faif::ml::NaiveBayesian< Val >::switchAddTraining(), and faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

void faif::ml::NaiveBayesian< Val >::write ( std::ostream &  os ) const

virtual

the ostream method

ostraem method

Reimplemented from faif::ml::Classifier< Val >.

References faif::ml::Classifier< Val >::write().

Referenced by faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

NaiveBayesian< Val >::AttrIdd faif::ml::NaiveBayesian< Val >::switchGetCategory

(

const ExampleTest &

example

)

change the internal obj to classify add return result of classification

References faif::ml::NaiveBayesian< Val >::getCategory().

Referenced by faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

NaiveBayesian< Val >::Beliefs faif::ml::NaiveBayesian< Val >::switchGetCategories

(

const ExampleTest &

example

)

change the internal obj to classify add return result of classification

References faif::ml::NaiveBayesian< Val >::getCategories().

Referenced by faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

void faif::ml::NaiveBayesian< Val >::switchAddTraining

(

const ExampleTrain &

example

)

change the internal obj to train and add new example

change the internal obj to train, clear the train, and add new example

References faif::ml::NaiveBayesian< Val >::reset(), and faif::ml::NaiveBayesian< Val >::trainIncremental().

Referenced by faif::ml::NaiveBayesian< Val >::train().

template<typename Val >

void faif::ml::NaiveBayesian< Val >::switchLoadSaveState

(

)

change the internal obj to classify, because this object store internal state

change the internal obj to classify and return the internal state

Referenced by faif::ml::NaiveBayesian< Val >::train().

template<typename Val>

const Domains& faif::ml::Classifier< Val >::getAttrDomains ( ) const

inlineinherited

accessor

Referenced by faif::ml::createExample(), faif::ml::createExampleStrict(), and faif::ml::RandomForest< Val >::getCategories().

template<typename Val>

const AttrDomain& faif::ml::Classifier< Val >::getCategoryDomain ( ) const

inlineinherited

accessor

Referenced by faif::ml::createExample().

template<typename Val>

AttrIdd faif::ml::Classifier< Val >::getCategoryIdd ( const AttrValue &  val ) const

inlineinherited

accessor (helper)

References faif::ml::Classifier< Val >::getCategories(), faif::ml::Classifier< Val >::getCategory(), faif::ml::Classifier< Val >::reset(), faif::ml::Classifier< Val >::train(), and faif::ml::Classifier< Val >::write().

Friends And Related Function Documentation

template<typename Val>

friend class boost::serialization::access

friend

serialization using boost::serialization

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

• faif/learning/NaiveBayesian.hpp