gstlrn::ALikelihood Class Reference

#include <ALikelihood.hpp>

Inheritance diagram for gstlrn::ALikelihood:

Public Member Functions
	ALikelihood (ModelGeneric *model, const Db *db, bool reml=false)
	ALikelihood (const ALikelihood &r)
ALikelihood &	operator= (const ALikelihood &r)
virtual	~ALikelihood ()
double	computeCost (bool flagPrint=false, bool verbose=false) override
double	computeLogLikelihood (bool flagPrint=false, bool verbose=false)
	getBeta () const
void	initLikelihood (bool verbose=false)
void	updateModel (bool verbose=false)
double	computeLogDet (Id nMC=1) const override
Id	getSize () const override
Public Member Functions inherited from gstlrn::AModelOptim
	AModelOptim (ModelGeneric *model=nullptr, bool verbose=false)
void	setEnvironment (const MatrixSymmetric &vars, double href, double epsilon=EPSILON6, double min=0., double max=INF)
AModelOptim &	operator= (const AModelOptim &r)
	AModelOptim (const AModelOptim &r)
void	setAuthorizedAnalyticalGradients (bool authorized)
bool	getAuthorizedAnalyticalGradients () const
virtual	~AModelOptim ()
void	setGradients (std::vector< std::function< double(const 1 &)> > &gradients)
void	setVerbose (bool verbose=false, bool trace=false)
double	eval (const 1 &x)
virtual void	evalGrad (vect res)
double	run ()
void	resetIter ()
std::shared_ptr< ListParams >	getParams () const
void	evalGradInEffectiveDimension (vect res)
Public Member Functions inherited from gstlrn::ASimulableMatrix
	ASimulableMatrix ()
virtual	~ASimulableMatrix ()
double	computeLogDet (Id nMC=1) const override
virtual const MatrixSparse &	getQMat () const =0
Public Member Functions inherited from gstlrn::ASimulable
	ASimulable ()
	ASimulable (const ASimulable &m)=default
ASimulable &	operator= (const ASimulable &m)=default
	ASimulable (ASimulable &&m)=default
ASimulable &	operator= (ASimulable &&m)=default
virtual	~ASimulable ()=default
Id	evalSimulate (const 1 &whitenoise, 1 &outv) const
	evalSimulate (const 1 &whitenoise) const
	simulate () const
Id	evalSimulate (const constvect whitenoise, vect result) const
Id	addSimulateToDest (const constvect whitenoise, vect outv) const
Public Member Functions inherited from gstlrn::ALinearOp
	ALinearOp ()
	ALinearOp (const ALinearOp &m)=default
	ALinearOp (ALinearOp &&m)=default
ALinearOp &	operator= (const ALinearOp &m)=default
ALinearOp &	operator= (ALinearOp &&m)=default
virtual	~ALinearOp ()=default
Id	evalDirect (const 1 &inv, 1 &outv) const
	evalDirect (const 1 &in) const
virtual void	multiplyByValueAndAddDiagonal (double v1=1., double v2=0.) const
virtual void	resetModif () const
void	setUseFactor (bool usefactor)
Id	evalDirect (constvect inv, vect outv) const
Id	addToDest (const constvect inv, vect outv) const
Id	addToDest (const ::Eigen::VectorXd &inv, ::Eigen::VectorXd &outv) const

Constructor & Destructor Documentation

ALikelihood() [1/2]

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

ALikelihood() [2/2]

gstlrn::ALikelihood::ALikelihood

(

const ALikelihood &

r

)

~ALikelihood()

gstlrn::ALikelihood::~ALikelihood ( )

virtual

Member Function Documentation

computeCost()

double gstlrn::ALikelihood::computeCost ( bool  flagPrint = false, bool  verbose = false  )

overridevirtual

Implements gstlrn::AModelOptim.

computeLogDet()

double gstlrn::ALikelihood::computeLogDet ( Id  nMC = 1 ) const

overridevirtual

Reimplemented from gstlrn::ASimulable.

computeLogLikelihood()

double gstlrn::ALikelihood::computeLogLikelihood	(	bool	flagPrint = false,
		bool	verbose = false
	)

getBeta()

gstlrn::ALikelihood::getBeta ( ) const

inline

getSize()

Id gstlrn::ALikelihood::getSize ( ) const

overridevirtual

Implements gstlrn::ALinearOp.

initLikelihood()

void gstlrn::ALikelihood::initLikelihood

(

bool

verbose = false

)

operator=()

ALikelihood & gstlrn::ALikelihood::operator=

(

const ALikelihood &

r

)

updateModel()

void gstlrn::ALikelihood::updateModel

(

bool

verbose = false

)

---

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

• include/Estimation/ALikelihood.hpp
• src/Estimation/ALikelihood.cpp