Quick Links: ROOT Homepage Class Index Class Hierarchy

Sections: class description function members data members class charts

ROOT » MATH » MATHCORE » ROOT::Fit::FitConfig

class ROOT::Fit::FitConfig


   Class describing the configuration of the fit, options and parameter settings
   using the ROOT::Fit::ParameterSettings class

   @ingroup FitMain

Function Members (Methods)

public:

	~FitConfig()
ROOT::Math::Minimizer*	CreateMinimizer()
void	CreateParamsSettings(const ROOT::Math::IParamMultiFunction& func)
ROOT::Fit::FitConfig	FitConfig(unsigned int npar = 0)
ROOT::Fit::FitConfig	FitConfig(const ROOT::Fit::FitConfig& rhs)
const string&	MinimizerAlgoType() const
ROOT::Math::MinimizerOptions&	MinimizerOptions()
const string&	MinimizerType() const
bool	MinosErrors() const
const vector<unsigned int>&	MinosParams() const
bool	NormalizeErrors() const
ROOT::Fit::FitConfig&	operator=(const ROOT::Fit::FitConfig& rhs)
bool	ParabErrors() const
const vector<ROOT::Fit::ParameterSettings>&	ParamsSettings() const
vector<ROOT::Fit::ParameterSettings>&	ParamsSettings()
const ROOT::Fit::ParameterSettings&	ParSettings(unsigned int i) const
ROOT::Fit::ParameterSettings&	ParSettings(unsigned int i)
static void	SetDefaultMinimizer(const char* type, const char* algo = 0)
void	SetMinimizer(const char* type, const char* algo = 0)
void	SetMinosErrors(bool on = true)
void	SetMinosErrors(const vector<unsigned int>& paramInd)
void	SetNormErrors(bool on = true)
void	SetParabErrors(bool on = true)
void	SetParamsSettings(unsigned int npar, const double* params, const double* vstep = 0)

Data Members

private:

ROOT::Math::MinimizerOptions	fMinimizerOpts	minimizer control parameters including name and algo type
bool	fMinosErrors	do full error analysis using Minos
vector<unsigned int>	fMinosParams	vector with the parameter indeces for running Minos
bool	fNormErrors	flag for error normalization
bool	fParabErrors	get correct parabolic errors estimate (call Hesse after minimizing)
vector<ROOT::Fit::ParameterSettings>	fSettings	vector with the parameter settings

Class Charts

Inheritance Inherited Members Includes Libraries

Function documentation

FitConfig(unsigned int npar = 0)

      Default constructor

FitConfig(const FitConfig & rhs)

     Copy constructor

~FitConfig()

      Destructor

FitConfig & operator=(const ROOT::Fit::FitConfig& rhs)

     Assignment operator

const ParameterSettings & ParSettings(unsigned int i)

      get the parameter settings for the i-th parameter (const method)

{ return fSettings.at(i); }

ParameterSettings & ParSettings(unsigned int i)

      get the parameter settings for the i-th parameter (non-const method)

{ return fSettings.at(i); }

const std::vector<ROOT::Fit::ParameterSettings> & ParamsSettings()

      get the vector of parameter settings  (const method)

{ return fSettings; }

std::vector<ROOT::Fit::ParameterSettings> & ParamsSettings()

      get the vector of parameter settings  (non-const method)

{ return fSettings; }

void CreateParamsSettings(const ROOT::Math::IParamMultiFunction& func)

      set the parameter settings from a model function.
      Create always new parameter setting list from a given model function

void SetParamsSettings(unsigned int npar, const double* params, const double* vstep = 0)

      set the parameter settings from number of parameters and a vector of values and optionally step values. If there are not existing or number of parameters does not match existing one, create a new parameter setting list.

ROOT::Math::Minimizer * CreateMinimizer()

      create a new minimizer according to chosen configuration

void SetMinimizer(const char* type, const char* algo = 0)

      set minimizer type

const std::string & MinimizerType() const

      return type of minimizer package

{ return fMinimizerOpts.MinimizerType(); }

const std::string & MinimizerAlgoType() const

      return type of minimizer algorithms

{ return fMinimizerOpts.MinimizerAlgorithm(); }

bool NormalizeErrors() const

      flag to check if resulting errors are be normalized according to chi2/ndf

{ return fNormErrors; }

bool ParabErrors() const

do analysis for parabolic errors

{ return fParabErrors; }

bool MinosErrors() const

do minos errros analysis on the  parameters

{ return fMinosErrors; }

const std::vector<unsigned int> & MinosParams() const

 return vector of parameter indeces for which the Minos Error will be computed

{ return fMinosParams; }

void SetNormErrors(bool on = true)

      set the option to normalize the error on the result  according to chi2/ndf

{ fNormErrors= on; }

void SetParabErrors(bool on = true)

set parabolic erros

{ fParabErrors = on; }

void SetMinosErrors(bool on = true)

set Minos erros

{ fMinosErrors = on; }

void SetMinosErrors(const std::vector<unsigned int> & paramInd )

 set parameter indeces for running Minos
 this can be used for running Minos on a subset of parameters - otherwise is run on all of them
 if MinosErrors() is set

void SetDefaultMinimizer(const char* type, const char* algo = 0)

      static function to control default minimizer type and algorithm