#include <TImportanceSampling.h>

Inheritance diagram for URANIE::Sampler::TImportanceSampling:

Collaboration diagram for URANIE::Sampler::TImportanceSampling:

Public Types
enum	EQuantileMethod { kQuantile1, kQuantile2, kQuantile3, kQuantile4, kQuantileUnknown }

Public Member Functions
Constructor and Destructor
	TImportanceSampling (URANIE::DataServer::TDataServer tds, TString xname, URANIE::DataServer::TStochasticAttribute att, Int_t ns)
	Constructor. More...

virtual	~TImportanceSampling ()
	Destructor. More...

Setting and Getting global informations
URANIE::DataServer::TDataServer *	getTDS ()
	This method returns the new tds build by the contructor of the object TIportanceSampling. More...

Compute Statistical parameters
Double_t	computeMean (TString u)
	This method computes the mean of the ouput attribut given in parameter. More...

Double_t	computeStd (TString u)
	This method computes and returns the stantard deviation of the ouput attribut given in parameter. More...

Double_t	computeThreshold (TString u, Double_t dThreshold)
	This method computes and returns the probability of threshold crossing of the ouput attribut given in parameter. More...

Double_t	computeQuantile (TString sVar, Double_t dAlpha, EQuantileMethod nMethod=kQuantile2)

Generates the sample
void	generateSample (Option_t *option="")
	Generates the Sample. More...

Treats the TAttributes
void	createListOfAttributes ()
	Creates the List of attributes to simulate. More...

Printing Log
void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")
	Prints the log. More...

Public Member Functions inherited from URANIE::Sampler::TSamplerStochastic
	TSamplerStochastic (URANIE::DataServer::TDataServer tds, Option_t option, Int_t nCalcul)
	Constructor with a dataserver. More...

virtual	~TSamplerStochastic ()
	Default destructor. More...

void	setSeed (Int_t ind=0)
	Init the seed. More...

Int_t	getSeed ()
	Returns the seed value. More...

Public Member Functions inherited from URANIE::Sampler::TSampler
	TSampler (URANIE::DataServer::TDataServer tds, Option_t option, Int_t nCalcul)
	Constructor with a TDataServer, the options and the size of the sample. More...

virtual	~TSampler ()
	Default destructor. More...

Int_t	GetID ()
	Returns the ID of the class. More...

void	setMethodName (TString str)
	Sets the method name in a global variable. More...

TString	getMethodName ()
	Gets the method name. More...

void	parseOption (Option_t *option)
	Parse the option. More...

virtual void	createTuple ()
	Creates the TDSNtupleD of data with only the TStochasticAttributes. More...

URANIE::DataServer::TDSNtupleD *	getTuple ()
	Returns the TDSNtupleD of data. More...

virtual void	fillOtherAttributes ()
	Fills the TDSNtupleD of data with other TFormulaAttributes. More...

void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

Public Attributes
URANIE::DataServer::TDataServer *	_tds_IS
	new tds build by the constructor More...

URANIE::DataServer::TStochasticAttribute *	_x
	attribut which be subsitute More...

URANIE::DataServer::TStochasticAttribute *	_is_x
	New law/attribut. More...

Double_t	_mean
	mean More...

Double_t	_std
	standart deviation More...

Double_t	_proba
	probability of threshold crossing More...

Public Attributes inherited from URANIE::Sampler::TSampler
Int_t	_nS
	The size of the sample. More...

Int_t	_nX
	The size of attributes to sample. More...

URANIE::DataServer::TDSNtupleD *	_ntsample
	the tntuple of data More...

TString	_sMethod
	The title of the sampler method. More...

Bool_t	_blog
	Log Printing. More...

Bool_t	_bupdateFile
	Update the back up file when generating the attributeformula if there is some. More...

URANIE::DataServer::TDataServer *	_tds
	Pointer to a TDS. More...

TList *	_lstOfAttributesToSample
	The list of Stochastic Attributes to sample. More...

Protected Attributes
Bool_t	_blog
	Boolean for edit the log. More...

TSampling *	_sampling
	THe TSampling object. More...

Protected Attributes inherited from URANIE::Sampler::TSamplerStochastic
Int_t	_nSeed

Additional Inherited Members
Protected Member Functions inherited from URANIE::Sampler::TSamplerStochastic
virtual void	init ()
	The preprocessing step. More...

virtual void	terminate ()
	The post-processing step. More...

Member Enumeration Documentation

◆ EQuantileMethod

enum URANIE::Sampler::TImportanceSampling::EQuantileMethod

Enumerator
kQuantile1
kQuantile2
kQuantile3
kQuantile4
kQuantileUnknown

Constructor & Destructor Documentation

◆ TImportanceSampling()

URANIE::Sampler::TImportanceSampling::TImportanceSampling	(	URANIE::DataServer::TDataServer *	tds,
		TString	xname,
		URANIE::DataServer::TStochasticAttribute *	att,
		Int_t	ns
	)

Constructor.

Referenced by ClassImp().

◆ ~TImportanceSampling()

virtual URANIE::Sampler::TImportanceSampling::~TImportanceSampling ( )

virtual

Destructor.

Referenced by ClassImp().

Member Function Documentation

◆ changeLog()

void URANIE::Sampler::TImportanceSampling::changeLog ( )

inline

References _blog.

◆ computeMean()

Double_t URANIE::Sampler::TImportanceSampling::computeMean ( TString u )

This method computes the mean of the ouput attribut given in parameter.

Return mean

Parameters

u	: name of the output attribut

Referenced by ClassImp().

◆ computeQuantile()

Double_t URANIE::Sampler::TImportanceSampling::computeQuantile	(	TString	sVar,
		Double_t	dAlpha,
		EQuantileMethod	nMethod = `kQuantile2`
	)

Return the \(\alpha\)-quantile of the attribute This method computes and returns the \(\alpha\)-quantile of the attribute given in parameter.

Parameters

sVar	: name of the attribute
dAlpha	: the parameter \(\alpha\).

Referenced by ClassImp().

◆ computeStd()

Double_t URANIE::Sampler::TImportanceSampling::computeStd ( TString u )

This method computes and returns the stantard deviation of the ouput attribut given in parameter.

Return the standard deviation

Parameters

u	: name of the output attribut

Referenced by ClassImp().

◆ computeThreshold()

Double_t URANIE::Sampler::TImportanceSampling::computeThreshold	(	TString	u,
		Double_t	dThreshold
	)

This method computes and returns the probability of threshold crossing of the ouput attribut given in parameter.

Return the probability of threshold crossing

Parameters

u	: name of the output attribut,
dThreshold	: the threshold parameter

Referenced by ClassImp().

◆ createListOfAttributes()

void URANIE::Sampler::TImportanceSampling::createListOfAttributes ( )

virtual

Creates the List of attributes to simulate.

Reimplemented from URANIE::Sampler::TSampler.

Referenced by ClassImp().

◆ generateSample()

void URANIE::Sampler::TImportanceSampling::generateSample ( Option_t * option = "" )

virtual

Generates the Sample.

Implements URANIE::Sampler::TSampler.

Referenced by ClassImp().

◆ getLog()

Bool_t URANIE::Sampler::TImportanceSampling::getLog ( )

inline

References _blog.

◆ getTDS()

URANIE::DataServer::TDataServer* URANIE::Sampler::TImportanceSampling::getTDS ( )

inlinevirtual

This method returns the new tds build by the contructor of the object TIportanceSampling.

Return the tds This tds is a copy of the iital tds where a attribut was replace by a new attribut which follows the new law given in parameter of the constructor. The inital attrinut replaced is attached to the new attribute.

Reimplemented from URANIE::Sampler::TSampler.

References _tds_IS.

◆ printLog()

virtual void URANIE::Sampler::TImportanceSampling::printLog ( Option_t * option = "" )

virtual

Prints the log.

Reimplemented from URANIE::Sampler::TSamplerStochastic.

Referenced by ClassImp().

◆ setLog()

void URANIE::Sampler::TImportanceSampling::setLog ( )

inline

References _blog.

◆ unsetLog()

void URANIE::Sampler::TImportanceSampling::unsetLog ( )

inline

References _blog.

Member Data Documentation

◆ _blog

Bool_t URANIE::Sampler::TImportanceSampling::_blog

protected

Boolean for edit the log.

Referenced by changeLog(), ClassImp(), getLog(), setLog(), and unsetLog().

◆ _is_x

URANIE::DataServer::TStochasticAttribute* URANIE::Sampler::TImportanceSampling::_is_x

New law/attribut.

Referenced by ClassImp().

◆ _mean

Double_t URANIE::Sampler::TImportanceSampling::_mean

mean

Referenced by ClassImp().

◆ _proba

Double_t URANIE::Sampler::TImportanceSampling::_proba

probability of threshold crossing

Referenced by ClassImp().

◆ _sampling

TSampling* URANIE::Sampler::TImportanceSampling::_sampling

protected

THe TSampling object.

Referenced by ClassImp().

◆ _std

Double_t URANIE::Sampler::TImportanceSampling::_std

standart deviation

Referenced by ClassImp().

◆ _tds_IS

URANIE::DataServer::TDataServer* URANIE::Sampler::TImportanceSampling::_tds_IS

new tds build by the constructor

Referenced by ClassImp(), and getTDS().

◆ _x

URANIE::DataServer::TStochasticAttribute* URANIE::Sampler::TImportanceSampling::_x

attribut which be subsitute

Referenced by ClassImp().

Documentation / Developer's manual

Available modules

Public Types

Public Member Functions

Public Attributes

Protected Attributes

Additional Inherited Members

Member Enumeration Documentation

◆ EQuantileMethod

Constructor & Destructor Documentation

◆ TImportanceSampling()

◆ ~TImportanceSampling()

Member Function Documentation

◆ changeLog()

◆ computeMean()

◆ computeQuantile()

◆ computeStd()

◆ computeThreshold()

◆ createListOfAttributes()

◆ generateSample()

◆ getLog()

◆ getTDS()

◆ printLog()

◆ setLog()

◆ unsetLog()

Member Data Documentation

◆ _blog

◆ _is_x

◆ _mean

◆ _proba

◆ _sampling

◆ _std

◆ _tds_IS

◆ _x