template<class FunType>
class ROOT::Fit::LogLikelihoodFCN< FunType >

LogLikelihoodFCN class for likelihood fits.

it is template to distinguish gradient and non-gradient case

Definition at line 55 of file LogLikelihoodFCN.h.

Public Types
typedef BasicFCN< FunType, UnBinData >	BaseFCN

typedef BaseObjFunction::BaseFunction	BaseFunction

typedef ::ROOT::Math::BasicFitMethodFunction< FunType >	BaseObjFunction

typedef ::ROOT::Math::IParamMultiFunction	IModelFunction

Public Types inherited from ROOT::Math::BasicFitMethodFunction< FunType >
typedef FunType ::BaseFunc	BaseFunction

enum	Type_t
	enumeration specyfing the possible fit method types More...

Public Member Functions
	LogLikelihoodFCN (const std::shared_ptr< UnBinData > &data, const std::shared_ptr< IModelFunction > &func, int weight=0, bool extended=false)
	Constructor from unbin data set and model function (pdf) More...

	LogLikelihoodFCN (const UnBinData &data, const IModelFunction &func, int weight=0, bool extended=false)
	Constructor from unbin data set and model function (pdf) for object managed by users. More...

	LogLikelihoodFCN (const LogLikelihoodFCN &f)
	Copy constructor. More...

virtual	~LogLikelihoodFCN ()
	Destructor (no operations) More...

virtual BaseFunction *	Clone () const
	clone the function (need to return Base for Windows) More...

virtual double	DataElement (const double x, unsigned int i, double g) const
	i-th likelihood contribution and its gradient More...

virtual void	Gradient (const double x, double g) const

virtual unsigned int	NFitPoints () const

LogLikelihoodFCN &	operator= (const LogLikelihoodFCN &rhs)
	Assignment operator. More...

virtual BaseObjFunction::Type_t	Type () const
	get type of fit method function More...

void	UseSumOfWeightSquare (bool on=true)

Public Member Functions inherited from ROOT::Fit::BasicFCN< FunType, UnBinData >
virtual const UnBinData &	Data () const
	access to const reference to the data More...

std::shared_ptr< UnBinData >	DataPtr () const
	access to data pointer More...

virtual const IModelFunction &	ModelFunction () const
	access to const reference to the model function More...

std::shared_ptr< IModelFunction >	ModelFunctionPtr () const
	access to function pointer More...

Public Member Functions inherited from ROOT::Math::BasicFitMethodFunction< FunType >
	BasicFitMethodFunction (int dim, int npoint)

virtual	~BasicFitMethodFunction ()
	Virtual Destructor (no operations) More...

virtual unsigned int	NCalls () const
	return the total number of function calls (overrided if needed) More...

virtual unsigned int	NDim () const
	Number of dimension (parameters) . More...

virtual unsigned int	NPoints () const
	return the number of data points used in evaluating the function More...

virtual void	ResetNCalls ()
	reset number of function calls More...

virtual void	UpdateNCalls () const
	update number of calls More...

Private Member Functions
virtual double	DoDerivative (const double *x, unsigned int icoord) const

virtual double	DoEval (const double *x) const
	Evaluation of the function (required by interface) More...

Private Attributes
std::vector< double >	fGrad

bool	fIsExtended

unsigned int	fNEffPoints

int	fWeight

Additional Inherited Members
Protected Types inherited from ROOT::Fit::BasicFCN< FunType, UnBinData >
typedef BaseObjFunction::BaseFunction	BaseFunction

typedef ::ROOT::Math::BasicFitMethodFunction< FunType >	BaseObjFunction

typedef ::ROOT::Math::IParamMultiFunction	IModelFunction

Protected Member Functions inherited from ROOT::Fit::BasicFCN< FunType, UnBinData >
	BasicFCN (const std::shared_ptr< UnBinData > &data, const std::shared_ptr< IModelFunction > &func)
	Constructor from data set and model function. More...

virtual	~BasicFCN ()
	Destructor (no operations) More...

void	SetData (const std::shared_ptr< UnBinData > &data)
	Set the data pointer. More...

void	SetModelFunction (const std::shared_ptr< IModelFunction > &func)
	Set the function pointer. More...

Protected Attributes inherited from ROOT::Fit::BasicFCN< FunType, UnBinData >
std::shared_ptr< UnBinData >	fData

std::shared_ptr< IModelFunction >	fFunc

#include <Fit/LogLikelihoodFCN.h>

Inheritance diagram for ROOT::Fit::LogLikelihoodFCN< FunType >:

[legend]

Member Typedef Documentation

◆ BaseFCN

template<class FunType>

typedef BasicFCN<FunType,UnBinData> ROOT::Fit::LogLikelihoodFCN< FunType >::BaseFCN

Definition at line 59 of file LogLikelihoodFCN.h.

◆ BaseFunction

template<class FunType>

typedef BaseObjFunction::BaseFunction ROOT::Fit::LogLikelihoodFCN< FunType >::BaseFunction

Definition at line 62 of file LogLikelihoodFCN.h.

◆ BaseObjFunction

template<class FunType>

typedef ::ROOT::Math::BasicFitMethodFunction<FunType> ROOT::Fit::LogLikelihoodFCN< FunType >::BaseObjFunction

Definition at line 61 of file LogLikelihoodFCN.h.

◆ IModelFunction

template<class FunType>

typedef ::ROOT::Math::IParamMultiFunction ROOT::Fit::LogLikelihoodFCN< FunType >::IModelFunction

Definition at line 64 of file LogLikelihoodFCN.h.

Constructor & Destructor Documentation

◆ LogLikelihoodFCN() [1/3]

template<class FunType>

ROOT::Fit::LogLikelihoodFCN< FunType >::LogLikelihoodFCN	(	const std::shared_ptr< UnBinData > &	data,
		const std::shared_ptr< IModelFunction > &	func,
		int	weight = `0`,
		bool	extended = `false`
	)

inline

Constructor from unbin data set and model function (pdf)

Definition at line 70 of file LogLikelihoodFCN.h.

◆ LogLikelihoodFCN() [2/3]

template<class FunType>

ROOT::Fit::LogLikelihoodFCN< FunType >::LogLikelihoodFCN	(	const UnBinData &	data,
		const IModelFunction &	func,
		int	weight = `0`,
		bool	extended = `false`
	)

inline

Constructor from unbin data set and model function (pdf) for object managed by users.

Definition at line 81 of file LogLikelihoodFCN.h.

◆ ~LogLikelihoodFCN()

template<class FunType>

virtual ROOT::Fit::LogLikelihoodFCN< FunType >::~LogLikelihoodFCN ( )

inlinevirtual

Destructor (no operations)

Definition at line 92 of file LogLikelihoodFCN.h.

◆ LogLikelihoodFCN() [3/3]

template<class FunType>

ROOT::Fit::LogLikelihoodFCN< FunType >::LogLikelihoodFCN ( const LogLikelihoodFCN< FunType > & f )

inline

Copy constructor.

Definition at line 97 of file LogLikelihoodFCN.h.

Member Function Documentation

◆ Clone()

template<class FunType>

virtual BaseFunction* ROOT::Fit::LogLikelihoodFCN< FunType >::Clone ( ) const

inlinevirtual

clone the function (need to return Base for Windows)

Definition at line 120 of file LogLikelihoodFCN.h.

◆ DataElement()

template<class FunType>

virtual double ROOT::Fit::LogLikelihoodFCN< FunType >::DataElement	(	const double *	x,
		unsigned int	i,
		double *	g
	)		const

inlinevirtual

i-th likelihood contribution and its gradient

Implements ROOT::Math::BasicFitMethodFunction< FunType >.

Definition at line 129 of file LogLikelihoodFCN.h.

◆ DoDerivative()

template<class FunType>

virtual double ROOT::Fit::LogLikelihoodFCN< FunType >::DoDerivative	(	const double *	x,
		unsigned int	icoord
	)		const

inlineprivatevirtual

Definition at line 174 of file LogLikelihoodFCN.h.

◆ DoEval()

template<class FunType>

virtual double ROOT::Fit::LogLikelihoodFCN< FunType >::DoEval ( const double * x ) const

inlineprivatevirtual

Evaluation of the function (required by interface)

Definition at line 163 of file LogLikelihoodFCN.h.

◆ Gradient()

template<class FunType>

virtual void ROOT::Fit::LogLikelihoodFCN< FunType >::Gradient	(	const double *	x,
		double *	g
	)		const

inlinevirtual

Definition at line 136 of file LogLikelihoodFCN.h.

◆ NFitPoints()

template<class FunType>

virtual unsigned int ROOT::Fit::LogLikelihoodFCN< FunType >::NFitPoints ( ) const

inlinevirtual

Definition at line 126 of file LogLikelihoodFCN.h.

◆ operator=()

template<class FunType>

LogLikelihoodFCN& ROOT::Fit::LogLikelihoodFCN< FunType >::operator= ( const LogLikelihoodFCN< FunType > & rhs )

inline

Assignment operator.

Definition at line 109 of file LogLikelihoodFCN.h.

◆ Type()

template<class FunType>

virtual BaseObjFunction::Type_t ROOT::Fit::LogLikelihoodFCN< FunType >::Type ( ) const

inlinevirtual

get type of fit method function

Reimplemented from ROOT::Math::BasicFitMethodFunction< FunType >.

Definition at line 142 of file LogLikelihoodFCN.h.

◆ UseSumOfWeightSquare()

template<class FunType>

void ROOT::Fit::LogLikelihoodFCN< FunType >::UseSumOfWeightSquare ( bool on = true )

inline

Definition at line 147 of file LogLikelihoodFCN.h.

Member Data Documentation

◆ fGrad

template<class FunType>

std::vector<double> ROOT::Fit::LogLikelihoodFCN< FunType >::fGrad

mutableprivate

Definition at line 187 of file LogLikelihoodFCN.h.

◆ fIsExtended

template<class FunType>

bool ROOT::Fit::LogLikelihoodFCN< FunType >::fIsExtended

private

Definition at line 181 of file LogLikelihoodFCN.h.

◆ fNEffPoints

template<class FunType>

unsigned int ROOT::Fit::LogLikelihoodFCN< FunType >::fNEffPoints

mutableprivate

Definition at line 185 of file LogLikelihoodFCN.h.

◆ fWeight

template<class FunType>

int ROOT::Fit::LogLikelihoodFCN< FunType >::fWeight

private

Definition at line 182 of file LogLikelihoodFCN.h.

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

math/mathcore/inc/Fit/LogLikelihoodFCN.h

template<class FunType> class ROOT::Fit::LogLikelihoodFCN< FunType >

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ BaseFCN

◆ BaseFunction

◆ BaseObjFunction

◆ IModelFunction

Constructor & Destructor Documentation

◆ LogLikelihoodFCN() [1/3]

◆ LogLikelihoodFCN() [2/3]

◆ ~LogLikelihoodFCN()

◆ LogLikelihoodFCN() [3/3]

Member Function Documentation

◆ Clone()

◆ DataElement()

◆ DoDerivative()

◆ DoEval()

◆ Gradient()

◆ NFitPoints()

◆ operator=()

◆ Type()

◆ UseSumOfWeightSquare()

Member Data Documentation

◆ fGrad

◆ fIsExtended

◆ fNEffPoints

◆ fWeight

template<class FunType>
class ROOT::Fit::LogLikelihoodFCN< FunType >