template<class DerivFunType, class ModelFunType = ROOT::Math::IParamMultiFunction>
class ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >

LogLikelihoodFCN class for likelihood fits.

it is template to distinguish gradient and non-gradient case

Definition at line 41 of file LogLikelihoodFCN.h.

Public Types
typedef BasicFCN< DerivFunType, ModelFunType, UnBinData >	BaseFCN

typedef BaseObjFunction::BaseFunction	BaseFunction

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

typedef ::ROOT::Math::IParamMultiFunctionTempl< T >	IModelFunction

typedef ModelFunType::BackendType	T

typedef BaseObjFunction::Type_t	Type_t

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

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

Public Member Functions
	LogLikelihoodFCN (const LogLikelihoodFCN &f)
	Copy constructor. More...

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

	LogLikelihoodFCN (const UnBinData &data, const IModelFunction &func, int weight=0, bool extended=false, const ::ROOT::Fit::ExecutionPolicy &executionPolicy=::ROOT::Fit::ExecutionPolicy::kSerial)
	Constructor from unbin data set and model function (pdf) for object managed by users. 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< DerivFunType, ROOT::Math::IParamMultiFunction, 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< DerivFunType >
	BasicFitMethodFunction (int dim, int npoint)

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

virtual double	DataElement (const double x, unsigned int i, double g=0) const=0
	method returning the data i-th contribution to the fit objective function For example the residual for the least square functions or the pdf element for the likelihood functions. 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 Type_t	Type () const
	return the type of method, override if needed 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
::ROOT::Fit::ExecutionPolicy	fExecutionPolicy

std::vector< double >	fGrad

bool	fIsExtended

unsigned int	fNEffPoints

int	fWeight

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

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

typedef ::ROOT::Math::IParamMultiFunctionTempl< T >	IModelFunction

typedef ModelFunType::BackendType	T

Protected Member Functions inherited from ROOT::Fit::BasicFCN< DerivFunType, ROOT::Math::IParamMultiFunction, 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< DerivFunType, ROOT::Math::IParamMultiFunction, UnBinData >
std::shared_ptr< UnBinData >	fData

std::shared_ptr< IModelFunction >	fFunc

#include <Fit/LogLikelihoodFCN.h>

Inheritance diagram for ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >:

[legend]

Member Typedef Documentation

◆ BaseFCN

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef BasicFCN<DerivFunType,ModelFunType,UnBinData> ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::BaseFCN

Definition at line 46 of file LogLikelihoodFCN.h.

◆ BaseFunction

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef BaseObjFunction::BaseFunction ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::BaseFunction

Definition at line 49 of file LogLikelihoodFCN.h.

◆ BaseObjFunction

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef ::ROOT::Math::BasicFitMethodFunction<DerivFunType> ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::BaseObjFunction

Definition at line 48 of file LogLikelihoodFCN.h.

◆ IModelFunction

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef ::ROOT::Math::IParamMultiFunctionTempl<T> ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::IModelFunction

Definition at line 51 of file LogLikelihoodFCN.h.

◆ T

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef ModelFunType::BackendType ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::T

Definition at line 45 of file LogLikelihoodFCN.h.

◆ Type_t

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

typedef BaseObjFunction::Type_t ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::Type_t

Definition at line 52 of file LogLikelihoodFCN.h.

Constructor & Destructor Documentation

◆ LogLikelihoodFCN() [1/3]

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

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

inline

Constructor from unbin data set and model function (pdf)

Definition at line 58 of file LogLikelihoodFCN.h.

◆ LogLikelihoodFCN() [2/3]

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::LogLikelihoodFCN	(	const UnBinData &	data,
		const IModelFunction &	func,
		int	weight = `0`,
		bool	extended = `false`,
		const ::ROOT::Fit::ExecutionPolicy &	executionPolicy = `::ROOT::Fit::ExecutionPolicy::kSerial`
	)

inline

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

Definition at line 70 of file LogLikelihoodFCN.h.

◆ ~LogLikelihoodFCN()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

virtual ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::~LogLikelihoodFCN ( )

inlinevirtual

Destructor (no operations)

Definition at line 82 of file LogLikelihoodFCN.h.

◆ LogLikelihoodFCN() [3/3]

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::LogLikelihoodFCN ( const LogLikelihoodFCN< DerivFunType, ModelFunType > & f )

inline

Copy constructor.

Definition at line 87 of file LogLikelihoodFCN.h.

Member Function Documentation

◆ Clone()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

virtual BaseFunction * ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::Clone ( ) const

inlinevirtual

clone the function (need to return Base for Windows)

Definition at line 113 of file LogLikelihoodFCN.h.

◆ DataElement()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

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

inlinevirtual

i-th likelihood contribution and its gradient

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

Definition at line 122 of file LogLikelihoodFCN.h.

◆ DoDerivative()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

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

inlineprivatevirtual

Definition at line 162 of file LogLikelihoodFCN.h.

◆ DoEval()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

virtual double ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::DoEval ( const double * x ) const

inlineprivatevirtual

Evaluation of the function (required by interface)

Definition at line 156 of file LogLikelihoodFCN.h.

◆ Gradient()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

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

inlinevirtual

Definition at line 128 of file LogLikelihoodFCN.h.

◆ NFitPoints()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

virtual unsigned int ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::NFitPoints ( ) const

inlinevirtual

Definition at line 119 of file LogLikelihoodFCN.h.

◆ operator=()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

LogLikelihoodFCN & ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::operator= ( const LogLikelihoodFCN< DerivFunType, ModelFunType > & rhs )

inline

Assignment operator.

Definition at line 100 of file LogLikelihoodFCN.h.

◆ Type()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

virtual BaseObjFunction::Type_t ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::Type ( ) const

inlinevirtual

get type of fit method function

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

Definition at line 135 of file LogLikelihoodFCN.h.

◆ UseSumOfWeightSquare()

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

void ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::UseSumOfWeightSquare ( bool on = true )

inline

Definition at line 140 of file LogLikelihoodFCN.h.

Member Data Documentation

◆ fExecutionPolicy

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

::ROOT::Fit::ExecutionPolicy ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::fExecutionPolicy

private

Definition at line 177 of file LogLikelihoodFCN.h.

◆ fGrad

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

std::vector<double> ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::fGrad

mutableprivate

Definition at line 175 of file LogLikelihoodFCN.h.

◆ fIsExtended

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

bool ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::fIsExtended

private

Definition at line 169 of file LogLikelihoodFCN.h.

◆ fNEffPoints

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

unsigned int ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::fNEffPoints

mutableprivate

Definition at line 173 of file LogLikelihoodFCN.h.

◆ fWeight

template<class DerivFunType , class ModelFunType = ROOT::Math::IParamMultiFunction>

int ROOT::Fit::LogLikelihoodFCN< DerivFunType, ModelFunType >::fWeight

private

Definition at line 170 of file LogLikelihoodFCN.h.

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

math/mathcore/inc/Fit/LogLikelihoodFCN.h

Public Types

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Member Typedef Documentation

◆ BaseFCN

◆ BaseFunction

◆ BaseObjFunction

◆ IModelFunction

◆ T

◆ Type_t

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

◆ fExecutionPolicy

◆ fGrad

◆ fIsExtended

◆ fNEffPoints

◆ fWeight