Inheritance diagram for bayesnet::AODELd:

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Collaboration diagram for bayesnet::AODELd:

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Public Member Functions
	AODELd (bool predict_voting=true)

AODELd &	fit (torch::Tensor &X_, torch::Tensor &y_, const std::vector< std::string > &features_, const std::string &className_, map< std::string, std::vector< int > > &states_, const Smoothing_t smoothing) override

std::vector< std::string >	graph (const std::string &name="AODELd") const override

Public Member Functions inherited from bayesnet::Ensemble
	Ensemble (bool predict_voting=true)

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

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

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

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

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

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

int	getNumberOfNodes () const override

int	getNumberOfEdges () const override

int	getNumberOfStates () const override

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

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

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

std::string	dump_cpt () 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 ()

int	getClassNumStates () const override

status_t	getStatus () const override

std::string	getVersion () override

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

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

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

Public Member Functions inherited from bayesnet::Proposal
	Proposal (torch::Tensor &pDataset, std::vector< std::string > &features_, std::string &className_)

Protected Member Functions
void	trainModel (const torch::Tensor &weights, const Smoothing_t smoothing) override

void	buildModel (const torch::Tensor &weights) override

Protected Member Functions inherited from bayesnet::Ensemble
void	trainModel (const torch::Tensor &weights, const Smoothing_t smoothing) override

torch::Tensor	predict_average_voting (torch::Tensor &X)

std::vector< std::vector< double > >	predict_average_voting (std::vector< std::vector< int > > &X)

torch::Tensor	predict_average_proba (torch::Tensor &X)

std::vector< std::vector< double > >	predict_average_proba (std::vector< std::vector< int > > &X)

torch::Tensor	compute_arg_max (torch::Tensor &X)

std::vector< int >	compute_arg_max (std::vector< std::vector< double > > &X)

torch::Tensor	voting (torch::Tensor &votes)

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

void	buildDataset (torch::Tensor &y)

Protected Member Functions inherited from bayesnet::BaseClassifier
Protected Member Functions inherited from bayesnet::Proposal
void	checkInput (const torch::Tensor &X, const torch::Tensor &y)

torch::Tensor	prepareX (torch::Tensor &X)

map< std::string, std::vector< int > >	localDiscretizationProposal (const map< std::string, std::vector< int > > &states, Network &model)

map< std::string, std::vector< int > >	fit_local_discretization (const torch::Tensor &y)

Additional Inherited Members
Protected Attributes inherited from bayesnet::Ensemble
unsigned	n_models

std::vector< std::unique_ptr< Classifier > >	models

std::vector< double >	significanceModels

bool	predict_voting

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

Protected Attributes inherited from bayesnet::Proposal
torch::Tensor	Xf

torch::Tensor	y

map< std::string, mdlp::CPPFImdlp * >	discretizers

Detailed Description

Definition at line 14 of file AODELd.h.

Constructor & Destructor Documentation

◆ AODELd()

bayesnet::AODELd::AODELd ( bool predict_voting = true )

Definition at line 10 of file AODELd.cc.

Member Function Documentation

◆ buildModel()

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

overrideprotectedvirtual

Implements bayesnet::Classifier.

Definition at line 29 of file AODELd.cc.

◆ fit()

AODELd & bayesnet::AODELd::fit	(	torch::Tensor &	X_,
		torch::Tensor &	y_,
		const std::vector< std::string > &	features_,
		const std::string &	className_,
		map< std::string, std::vector< int > > &	states_,
		const Smoothing_t	smoothing )

override

Definition at line 13 of file AODELd.cc.

◆ graph()

std::vector< std::string > bayesnet::AODELd::graph ( const std::string & name = "AODELd" ) const

overridevirtual

Implements bayesnet::BaseClassifier.

Definition at line 44 of file AODELd.cc.

◆ trainModel()

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

overrideprotectedvirtual

Implements bayesnet::BaseClassifier.

Definition at line 38 of file AODELd.cc.

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

/home/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.h
/home/rmontanana/Code/BayesNet/bayesnet/ensembles/AODELd.cc

Public Member Functions

Protected Member Functions

Additional Inherited Members