#include <Likelihood.hpp>

Inheritance diagram for gstlrn::Likelihood:

Public Member Functions
	Likelihood (ModelGeneric model, const Db db, bool reml=false)

	Likelihood (const Likelihood &r)

Likelihood &	operator= (const Likelihood &r)

virtual	~Likelihood ()

void	evalGrad (vect res) override

Public Member Functions inherited from gstlrn::ALikelihood
	ALikelihood (ModelGeneric model, const Db db, bool reml=false)

	ALikelihood (const ALikelihood &r)

ALikelihood &	operator= (const ALikelihood &r)

virtual	~ALikelihood ()

void	init (bool verbose=false)

double	computeCost (bool verbose=false) override

double	computeLogLikelihood (bool verbose=false)

Public Member Functions inherited from gstlrn::AModelOptim
	AModelOptim (ModelGeneric *model=nullptr, bool verbose=false)

void	setEnvironment (const MatrixSymmetric &vars, double href)

AModelOptim &	operator= (const AModelOptim &r)

void	setAuthorizedAnalyticalGradients (bool authorized)

bool	getAuthorizedAnalyticalGradients () const

virtual	~AModelOptim ()

void	setGradients (std::vector< std::function< double(const std::vector< double > &)> > &gradients)

void	setVerbose (bool verbose=false, bool trace=false)

double	eval (const std::vector< double > &x)

void	run ()

void	resetIter ()

Static Public Member Functions
static Likelihood *	createForOptim (ModelGeneric model, const Db db, bool reml=false)

Constructor & Destructor Documentation

◆ Likelihood() [1/2]

gstlrn::Likelihood::Likelihood	(	ModelGeneric *	model,
		const Db *	db,
		bool	reml = `false`
	)

gstlrn::Likelihood::Likelihood ( const Likelihood & r )

gstlrn::Likelihood::~Likelihood ( )

virtual

Likelihood * gstlrn::Likelihood::createForOptim	(	ModelGeneric *	model,
		const Db *	db,
		bool	reml = `false`
	)

static

void gstlrn::Likelihood::evalGrad ( vect res )

overridevirtual

Reimplemented from gstlrn::AModelOptim.

Likelihood & gstlrn::Likelihood::operator= ( const Likelihood & r )

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