#include <Likelihood.h>

Public Member Functions
double	absoluteLog () const

	Likelihood ()

	Likelihood (const Sample &sample, PDF &pdf, Yield &yield)

double	log () const

double	logNFactorial () const

double	operator() () const

PDF &	pdf ()

const PDF &	pdf () const

unsigned int	sampleSize () const

Yield &	yield ()

const Yield &	yield () const

Private Types
typedef LikelihoodEvaluator< PDF, typename Sample::value_type >	Evaluator

Private Attributes
PDF *	pdf_

Sample	sample_

unsigned int	sampleSize_ = 0u

Yield *	yield_

Detailed Description

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>
class fit::Likelihood< Sample, PDF, Yield >

Definition at line 23 of file Likelihood.h.

Member Typedef Documentation

◆ Evaluator

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>

typedef LikelihoodEvaluator<PDF, typename Sample::value_type> fit::Likelihood< Sample, PDF, Yield >::Evaluator

private

Definition at line 46 of file Likelihood.h.

Constructor & Destructor Documentation

◆ Likelihood() [1/2]

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>

fit::Likelihood< Sample, PDF, Yield >::Likelihood ( )

inline

Definition at line 25 of file Likelihood.h.

25 {}

◆ Likelihood() [2/2]

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>

fit::Likelihood< Sample, PDF, Yield >::Likelihood	(	const Sample &	sample,
		PDF &	pdf,
		Yield &	yield
	)

inline

Definition at line 26 of file Likelihood.h.

26 : pdf_(&pdf), yield_(&yield), sample_(sample) {}

fit::Likelihood::yield_

Yield * yield_

Definition: Likelihood.h:48

ecalGpuTask_cfi.sample

sample

Definition: ecalGpuTask_cfi.py:48

fit::Likelihood::pdf_

PDF * pdf_

Definition: Likelihood.h:47

fit::Likelihood::yield

Yield & yield()

Definition: Likelihood.h:41

fit::Likelihood::sample_

Sample sample_

Definition: Likelihood.h:49

fit::Likelihood::pdf

PDF & pdf()

Definition: Likelihood.h:39

Member Function Documentation

◆ absoluteLog()

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>

double fit::Likelihood< Sample, PDF, Yield >::absoluteLog ( ) const

inline

Definition at line 38 of file Likelihood.h.

References fit::Likelihood< Sample, PDF, Yield >::log(), and fit::Likelihood< Sample, PDF, Yield >::logNFactorial().

38 { return log() - logNFactorial(); }

fit::Likelihood::log

double log() const

Definition: Likelihood.h:28

fit::Likelihood::logNFactorial

double logNFactorial() const

Definition: Likelihood.h:37

◆ log()

template<typename Sample, typename PDF, typename Yield = NoExtendedLikelihood>

double fit::Likelihood< Sample, PDF, Yield >::log ( ) const

inline

Definition at line 28 of file Likelihood.h.

References fit::LikelihoodEvaluator< PDF, Tuple >::evaluate(), mps_fire::i, MainPageGenerator::l, dqm-mbProfile::log, AlCaHLTBitMon_ParallelJobs::p, fit::Likelihood< Sample, PDF, Yield >::pdf_, fit::Likelihood< Sample, PDF, Yield >::sample_, and fit::Likelihood< Sample, PDF, Yield >::sampleSize_.

Referenced by fit::Likelihood< Sample, PDF, Yield >::absoluteLog(), fit::Likelihood< Sample, PDF, Yield >::operator()(), and fit::Likelihood< Sample, PDF, NoExtendedLikelihood >::operator()().

                        {
       double l = -(*yield_)();
       for (typename Sample::const_iterator i = sample_.begin(); i != sample_.end(); ++i) {
         double p = Evaluator::evaluate(*pdf_, *i);
         l += std::log(p);
       }
       sampleSize_ = sample_.size();
       return l;
     }