1.9.0
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Public Member Functions | List of all members
gstlrn::AModelOptim Class Referenceabstract

#include <AModelOptim.hpp>

Inheritance diagram for gstlrn::AModelOptim:
gstlrn::ALikelihood gstlrn::ModelOptimVMap gstlrn::ModelOptimVario gstlrn::Likelihood gstlrn::Vecchia

Public Member Functions

 AModelOptim (ModelGeneric *model=nullptr, bool verbose=false)
 
void setEnvironment (const MatrixSymmetric &vars, double href, double epsilon=EPSILON6)
 
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)
 
virtual void evalGrad (vect res)
 
double run ()
 
void resetIter ()
 
virtual double computeCost (bool verbose=false)=0
 
std::shared_ptr< ListParams > getParams () const
 
void evalGradInEffectiveDimension (vect res)
 

Constructor & Destructor Documentation

◆ AModelOptim()

gstlrn::AModelOptim::AModelOptim ( ModelGeneric *  model = nullptr,
bool  verbose = false 
)

◆ ~AModelOptim()

gstlrn::AModelOptim::~AModelOptim ( )
virtual

Member Function Documentation

◆ computeCost()

virtual double gstlrn::AModelOptim::computeCost ( bool  verbose = false)
pure virtual

Implemented in gstlrn::ALikelihood, gstlrn::ModelOptimVario, and gstlrn::ModelOptimVMap.

◆ eval()

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

◆ evalGrad()

void gstlrn::AModelOptim::evalGrad ( vect  res)
virtual

Reimplemented in gstlrn::Likelihood, gstlrn::ModelOptimVario, and gstlrn::ModelOptimVMap.

◆ evalGradInEffectiveDimension()

void gstlrn::AModelOptim::evalGradInEffectiveDimension ( vect  res)

◆ getAuthorizedAnalyticalGradients()

bool gstlrn::AModelOptim::getAuthorizedAnalyticalGradients ( ) const

◆ getParams()

std::shared_ptr< ListParams > gstlrn::AModelOptim::getParams ( ) const
inline

◆ operator=()

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

◆ resetIter()

void gstlrn::AModelOptim::resetIter ( )

◆ run()

double gstlrn::AModelOptim::run ( )

◆ setAuthorizedAnalyticalGradients()

void gstlrn::AModelOptim::setAuthorizedAnalyticalGradients ( bool  authorized)

◆ setEnvironment()

void gstlrn::AModelOptim::setEnvironment ( const MatrixSymmetric &  vars,
double  href,
double  epsilon = EPSILON6 
)

◆ setGradients()

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

◆ setVerbose()

void gstlrn::AModelOptim::setVerbose ( bool  verbose = false,
bool  trace = false 
)
The documentation for this class was generated from the following files: