hops::Data Class Reference

#include <Data.hpp>

Collaboration diagram for hops::Data:

Public Member Functions
	Data (long dimension=0)
	Data (const std::vector< std::shared_ptr< MarkovChain >> &m_markovChains, long dimension=0)
void	setDimension (long dimension)
void	linkWithChains (const std::vector< std::shared_ptr< MarkovChain >> &m_markovChains)
std::vector< const std::vector< double > * >	getAcceptanceRates ()
std::vector< const std::vector< double > * >	getNegativeLogLikelihood ()
std::vector< const std::vector< Eigen::VectorXd > * >	getStates ()
std::vector< const std::vector< long > * >	getTimestamps ()
void	computeTotalNumberOfSamples ()
void	computeAcceptanceRate ()
void	computeEffectiveSampleSize ()
void	computeExpectedSquaredJumpDistance ()
void	computePotentialScaleReductionFactor ()
void	computeTotalTimeTaken ()
void	reset ()
void	write (const std::string &outputDirectory, bool discardRawData=false) const
void	setTuningMethod (const std::string &tuningMethod)
void	setTotalNumberOfTuningSamples (unsigned long totalNumberOfTuningSamples)
void	setTunedStepSize (double tunedStepSize)
void	setTunedObjectiveValue (double tunedObjectiveValue)
void	setTotalTuningTimeTaken (double totalTuningTimeTaken)
void	setTuningData (const Eigen::MatrixXd &tuningData)
void	setTuningPosterior (const Eigen::MatrixXd &tuningPosterior)

Friends
Eigen::VectorXd	computeAcceptanceRate (Data &data)
Eigen::VectorXd	computeExpectedSquaredJumpDistance (Data &data)
Eigen::VectorXd	computeEffectiveSampleSize (Data &data)
Eigen::VectorXd	computePotentialScaleReductionFactor (Data &data)
double	computeTotalNumberOfSamples (Data &data)
Eigen::VectorXd	computeTotalTimeTaken (Data &data)

Constructor & Destructor Documentation

Data() [1/2]

hops::Data::Data ( long  dimension = 0 )

inline

Data() [2/2]

hops::Data::Data ( const std::vector< std::shared_ptr< MarkovChain >> &  m_markovChains, long  dimension = 0  )

inline

Member Function Documentation

computeAcceptanceRate()

void hops::Data::computeAcceptanceRate ( )

inline

computeEffectiveSampleSize()

void hops::Data::computeEffectiveSampleSize ( )

inline

computeExpectedSquaredJumpDistance()

void hops::Data::computeExpectedSquaredJumpDistance ( )

inline

computePotentialScaleReductionFactor()

void hops::Data::computePotentialScaleReductionFactor ( )

inline

computeTotalNumberOfSamples()

void hops::Data::computeTotalNumberOfSamples ( )

inline

computeTotalTimeTaken()

void hops::Data::computeTotalTimeTaken ( )

inline

getAcceptanceRates()

std::vector<const std::vector<double>*> hops::Data::getAcceptanceRates ( )

inline

getNegativeLogLikelihood()

std::vector<const std::vector<double>*> hops::Data::getNegativeLogLikelihood ( )

inline

getStates()

std::vector<const std::vector<Eigen::VectorXd>*> hops::Data::getStates ( )

inline

getTimestamps()

std::vector<const std::vector<long>*> hops::Data::getTimestamps ( )

inline

linkWithChains()

void hops::Data::linkWithChains ( const std::vector< std::shared_ptr< MarkovChain >> &  m_markovChains )

inline

reset()

void hops::Data::reset ( )

inline

setDimension()

void hops::Data::setDimension ( long  dimension )

inline

setTotalNumberOfTuningSamples()

void hops::Data::setTotalNumberOfTuningSamples ( unsigned long  totalNumberOfTuningSamples )

inline

setTotalTuningTimeTaken()

void hops::Data::setTotalTuningTimeTaken ( double  totalTuningTimeTaken )

inline

setTunedObjectiveValue()

void hops::Data::setTunedObjectiveValue ( double  tunedObjectiveValue )

inline

setTunedStepSize()

void hops::Data::setTunedStepSize ( double  tunedStepSize )

inline

setTuningData()

void hops::Data::setTuningData ( const Eigen::MatrixXd &  tuningData )

inline

setTuningMethod()

void hops::Data::setTuningMethod ( const std::string &  tuningMethod )

inline

setTuningPosterior()

void hops::Data::setTuningPosterior ( const Eigen::MatrixXd &  tuningPosterior )

inline

write()

void hops::Data::write ( const std::string &  outputDirectory, bool  discardRawData = false  ) const

inline

Friends And Related Function Documentation

computeAcceptanceRate

Eigen::VectorXd computeAcceptanceRate ( Data &  data )

friend

computeEffectiveSampleSize

Eigen::VectorXd computeEffectiveSampleSize ( Data &  data )

friend

computeExpectedSquaredJumpDistance

Eigen::VectorXd computeExpectedSquaredJumpDistance ( Data &  data )

friend

computePotentialScaleReductionFactor

Eigen::VectorXd computePotentialScaleReductionFactor ( Data &  data )

friend

computeTotalNumberOfSamples

double computeTotalNumberOfSamples ( Data &  data )

friend

computeTotalTimeTaken

Eigen::VectorXd computeTotalTimeTaken ( Data &  data )

friend

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

• Data.hpp