Inheritance diagram for bayesnet::XSp2de:

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Collaboration diagram for bayesnet::XSp2de:

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Public Member Functions
	XSp2de (int spIndex1, int spIndex2)

void	setHyperparameters (const nlohmann::json &hyperparameters_) override

void	fitx (torch::Tensor &X, torch::Tensor &y, torch::Tensor &weights_, const Smoothing_t smoothing)

std::vector< double >	predict_proba (const std::vector< int > &instance) const

std::vector< std::vector< double > >	predict_proba (std::vector< std::vector< int > > &test_data) override

int	predict (const std::vector< int > &instance) const

std::vector< int >	predict (std::vector< std::vector< int > > &test_data) override

torch::Tensor	predict (torch::Tensor &X) override

torch::Tensor	predict_proba (torch::Tensor &X) override

float	score (torch::Tensor &X, torch::Tensor &y) override

float	score (std::vector< std::vector< int > > &X, std::vector< int > &y) override

std::string	to_string () const

std::vector< std::string >	graph (const std::string &title) const override

int	getNumberOfNodes () const override

int	getNumberOfEdges () const override

int	getNFeatures () const

int	getClassNumStates () const override

int	getNumberOfStates () const override

Public Member Functions inherited from bayesnet::Classifier
	Classifier (Network model)

Classifier &	fit (std::vector< std::vector< int > > &X, std::vector< int > &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const Smoothing_t smoothing) override

Classifier &	fit (torch::Tensor &X, torch::Tensor &y, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const Smoothing_t smoothing) override

Classifier &	fit (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const Smoothing_t smoothing) override

Classifier &	fit (torch::Tensor &dataset, const std::vector< std::string > &features, const std::string &className, std::map< std::string, std::vector< int > > &states, const torch::Tensor &weights, const Smoothing_t smoothing) override

void	addNodes ()

status_t	getStatus () const override

std::string	getVersion () override

std::vector< std::string >	show () const override

std::vector< std::string >	topological_order () override

std::vector< std::string >	getNotes () const override

std::string	dump_cpt () const override

Public Member Functions inherited from bayesnet::BaseClassifier
std::vector< std::string > &	getValidHyperparameters ()

Protected Member Functions
void	buildModel (const torch::Tensor &weights) override

void	trainModel (const torch::Tensor &weights, const bayesnet::Smoothing_t smoothing) override

Protected Member Functions inherited from bayesnet::Classifier
void	checkFitParameters ()

void	buildDataset (torch::Tensor &y)

Protected Member Functions inherited from bayesnet::BaseClassifier

Additional Inherited Members
Protected Attributes inherited from bayesnet::Classifier
bool	fitted

unsigned int	m

unsigned int	n

Network	model

Metrics	metrics

std::vector< std::string >	features

std::string	className

std::map< std::string, std::vector< int > >	states

torch::Tensor	dataset

const std::string	CLASSIFIER_NOT_FITTED = "Classifier has not been fitted"

Protected Attributes inherited from bayesnet::BaseClassifier
std::vector< std::string >	validHyperparameters

std::vector< std::string >	notes

status_t	status = NORMAL

Detailed Description

Definition at line 17 of file XSP2DE.h.

Constructor & Destructor Documentation

◆ XSp2de()

bayesnet::XSp2de::XSp2de	(	int	spIndex1,
		int	spIndex2 )

Definition at line 21 of file XSP2DE.cc.

Member Function Documentation

◆ buildModel()

void bayesnet::XSp2de::buildModel ( const torch::Tensor & weights )

overrideprotectedvirtual

Implements bayesnet::Classifier.

Definition at line 76 of file XSP2DE.cc.

◆ fitx()

void bayesnet::XSp2de::fitx	(	torch::Tensor &	X,
		torch::Tensor &	y,
		torch::Tensor &	weights_,
		const Smoothing_t	smoothing )

Definition at line 55 of file XSP2DE.cc.

◆ getClassNumStates()

int bayesnet::XSp2de::getClassNumStates ( ) const

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 542 of file XSP2DE.cc.

◆ getNFeatures()

int bayesnet::XSp2de::getNFeatures ( ) const

Definition at line 547 of file XSP2DE.cc.

◆ getNumberOfEdges()

int bayesnet::XSp2de::getNumberOfEdges ( ) const

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 559 of file XSP2DE.cc.

◆ getNumberOfNodes()

int bayesnet::XSp2de::getNumberOfNodes ( ) const

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 536 of file XSP2DE.cc.

◆ getNumberOfStates()

int bayesnet::XSp2de::getNumberOfStates ( ) const

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 552 of file XSP2DE.cc.

◆ graph()

std::vector< std::string > bayesnet::XSp2de::graph ( const std::string & title ) const

inlineoverridevirtual

Implements bayesnet::BaseClassifier.

Definition at line 32 of file XSP2DE.h.

◆ predict() [1/3]

int bayesnet::XSp2de::predict ( const std::vector< int > & instance ) const

Definition at line 407 of file XSP2DE.cc.

◆ predict() [2/3]

std::vector< int > bayesnet::XSp2de::predict ( std::vector< std::vector< int > > & test_data )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 418 of file XSP2DE.cc.

◆ predict() [3/3]

torch::Tensor bayesnet::XSp2de::predict ( torch::Tensor & X )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 436 of file XSP2DE.cc.

◆ predict_proba() [1/3]

std::vector< double > bayesnet::XSp2de::predict_proba ( const std::vector< int > & instance ) const

Definition at line 308 of file XSP2DE.cc.

◆ predict_proba() [2/3]

std::vector< std::vector< double > > bayesnet::XSp2de::predict_proba ( std::vector< std::vector< int > > & test_data )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 358 of file XSP2DE.cc.

◆ predict_proba() [3/3]

torch::Tensor bayesnet::XSp2de::predict_proba ( torch::Tensor & X )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 446 of file XSP2DE.cc.

◆ score() [1/2]

float bayesnet::XSp2de::score	(	std::vector< std::vector< int > > &	X,
		std::vector< int > &	y )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 471 of file XSP2DE.cc.

◆ score() [2/2]

float bayesnet::XSp2de::score	(	torch::Tensor &	X,
		torch::Tensor &	y )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 462 of file XSP2DE.cc.

◆ setHyperparameters()

void bayesnet::XSp2de::setHyperparameters ( const nlohmann::json & hyperparameters_ )

overridevirtual

Reimplemented from bayesnet::Classifier.

Definition at line 37 of file XSP2DE.cc.

◆ to_string()

std::string bayesnet::XSp2de::to_string ( ) const

Definition at line 502 of file XSP2DE.cc.

◆ trainModel()

void bayesnet::XSp2de::trainModel	(	const torch::Tensor &	weights,
		const bayesnet::Smoothing_t	smoothing )

overrideprotectedvirtual

Reimplemented from bayesnet::Classifier.

Definition at line 125 of file XSP2DE.cc.

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

/home/rmontanana/Code/BayesNet/bayesnet/classifiers/XSP2DE.h
/home/rmontanana/Code/BayesNet/bayesnet/classifiers/XSP2DE.cc

Public Member Functions

Protected Member Functions

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ XSp2de()

Member Function Documentation

◆ buildModel()

◆ fitx()

◆ getClassNumStates()

◆ getNFeatures()

◆ getNumberOfEdges()

◆ getNumberOfNodes()

◆ getNumberOfStates()

◆ graph()

◆ predict() [1/3]

◆ predict() [2/3]

◆ predict() [3/3]

◆ predict_proba() [1/3]

◆ predict_proba() [2/3]

◆ predict_proba() [3/3]

◆ score() [1/2]

◆ score() [2/2]

◆ setHyperparameters()

◆ to_string()

◆ trainModel()