hops::ModelWrapper Class Reference

#include <ModelWrapper.hpp>

Collaboration diagram for hops::ModelWrapper:

Public Member Functions
	ModelWrapper (std::shared_ptr< Model > model)
virtual MatrixType::Scalar	computeNegativeLogLikelihood (const VectorType &state)
virtual std::optional< VectorType >	computeLogLikelihoodGradient (const VectorType &state)
virtual std::optional< MatrixType >	computeExpectedFisherInformation (const VectorType &state)
const std::shared_ptr< Model > &	getModel () const
void	setModel (const std::shared_ptr< Model > &newModel)
bool	hasModel ()

Detailed Description

@Brief Wrapper to help mix in models to proposals. It also allows for swapping models dynamically.

Constructor & Destructor Documentation

ModelWrapper()

hops::ModelWrapper::ModelWrapper ( std::shared_ptr< Model >  model )

inlineexplicit

Member Function Documentation

computeExpectedFisherInformation()

virtual std::optional<MatrixType> hops::ModelWrapper::computeExpectedFisherInformation ( const VectorType &  state )

inlinevirtual

@Brief Virtual because later mixins are allowed to override, e.g. Coldness

computeLogLikelihoodGradient()

virtual std::optional<VectorType> hops::ModelWrapper::computeLogLikelihoodGradient ( const VectorType &  state )

inlinevirtual

@Brief Virtual because later mixins are allowed to override, e.g. Coldness

computeNegativeLogLikelihood()

virtual MatrixType::Scalar hops::ModelWrapper::computeNegativeLogLikelihood ( const VectorType &  state )

inlinevirtual

@Brief Virtual because later mixins are allowed to override, e.g. Coldness

getModel()

const std::shared_ptr<Model>& hops::ModelWrapper::getModel ( ) const

inline

hasModel()

bool hops::ModelWrapper::hasModel ( )

inline

setModel()

void hops::ModelWrapper::setModel ( const std::shared_ptr< Model > &  newModel )

inline

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

• ModelWrapper.hpp