class ROOT::Fit::Fitter


   Fitter class, entry point for performing all type of fits.
   Fits are performed using the generic ROOT::Fit::Fitter::Fit method.
   The inputs are the data points and a model function (using a ROOT::Math::IParamFunction)
   The result of the fit is returned and kept internally in the  ROOT::Fit::FitResult class.
   The configuration of the fit (parameters, options, etc...) are specified in the
   ROOT::Math::FitConfig class.

   @ingroup FitMain

Function Members (Methods)

public:

	~Fitter()
const ROOT::Fit::FitConfig&	Config() const
ROOT::Fit::FitConfig&	Config()
bool	Fit(const ROOT::Fit::BinData& data)
bool	Fit(const ROOT::Fit::UnBinData& data)
bool	Fit(const ROOT::Fit::BinData& data, const ROOT::Math::IParametricFunctionMultiDim& func)
bool	Fit(const ROOT::Fit::UnBinData& data, const ROOT::Math::IParametricFunctionMultiDim& func)
bool	FitFCN(ROOT::Fit::Fitter::MinuitFCN_t fcn)
bool	FitFCN(const ROOT::Math::IMultiGenFunction& fcn, const double* params = 0, unsigned int dataSize = 0)
bool	FitFCN(const ROOT::Math::IMultiGradFunction& fcn, const double* params = 0, unsigned int dataSize = 0)
ROOT::Fit::Fitter	Fitter()
ROOT::Math::IMultiGenFunction*	GetFCN()
ROOT::Math::Minimizer*	GetMinimizer()
bool	IsBinFit() const
bool	LikelihoodFit(const ROOT::Fit::BinData& data)
bool	LikelihoodFit(const ROOT::Fit::UnBinData& data)
bool	LikelihoodFit(const ROOT::Fit::BinData& data, const ROOT::Math::IParametricFunctionMultiDim& func)
bool	LikelihoodFit(const ROOT::Fit::UnBinData& data, const ROOT::Math::IParametricFunctionMultiDim& func)
bool	LinearFit(const ROOT::Fit::BinData& data)
const ROOT::Fit::FitResult&	Result() const
void	SetFunction(const ROOT::Fit::Fitter::IModelFunction& func)
void	SetFunction(const ROOT::Fit::Fitter::IModel1DFunction& func)
void	SetFunction(const ROOT::Fit::Fitter::IGradModelFunction& func)
void	SetFunction(const ROOT::Fit::Fitter::IGradModel1DFunction& func)

protected:

bool	DoLeastSquareFit(const ROOT::Fit::BinData& data)
bool	DoLikelihoodFit(const ROOT::Fit::BinData& data)
bool	DoLikelihoodFit(const ROOT::Fit::UnBinData& data)
bool	DoLinearFit(const ROOT::Fit::BinData& data)

private:

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

Data Members

private:

bool	fBinFit	flag to indicate if fit is binned (in case of false the fit is unbinned or undefined)
ROOT::Fit::FitConfig	fConfig	fitter configuration (options and parameter settings)
ROOT::Fit::Fitter::IModelFunction*	fFunc	copy of the fitted function containing on output the fit result (managed by FitResult)
auto_ptr<ROOT::Math::Minimizer>	fMinimizer	! pointer to used minimizer
auto_ptr<ROOT::Math::IMultiGenFunction>	fObjFunction	! pointer to used objective function
auto_ptr<ROOT::Fit::FitResult>	fResult	! pointer to the object containing the result of the fit
bool	fUseGradient	flag to indicate if using gradient or not

Class Charts

Function documentation

bool FitFCN(const ROOT::Math::IMultiGenFunction & fcn, const double * params = 0, unsigned int dataSize = 0 )

      fit using the given FCN function represented by a multi-dimensional function interface
      (ROOT::Math::IMultiGenFunction).
      Give optionally initial the parameter values and data size to have the fit Ndf correctly
      set in the FitResult.
      If the parameters values are not given (parameter pointers=0) the
      current parameter settings are used. The parameter settings can be created before
      by using the FitConfig::SetParamsSetting. If they have not been created they are created
      automatically when the params pointer is not zero

bool FitFCN(const ROOT::Math::IMultiGradFunction & fcn, const double * params = 0, unsigned int dataSize = 0)

      Fit using the given FCN function representing a multi-dimensional gradient function
      interface (ROOT::Math::IMultiGradFunction). In this case the minimizer will use the
      gradient information provided by the function.
      For the other arguments same consideration as in the previous method

bool IsBinFit() const

      query if fit is binned. In cse of false teh fit can be unbinned
      or is not defined (like in case of fitting through a ::FitFCN)

{ return fBinFit; }

ROOT::Math::Minimizer * GetMinimizer()

      return pointer to last used minimizer
      (is NULL in case fit is not yet done)
      This pointer will be valid as far as the data, the objective function
      and the fitter class  have not been deleted.
      To be used only after fitting.

{ return fMinimizer.get(); }

ROOT::Math::IMultiGenFunction * GetFCN()

      return pointer to last used objective function
      (is NULL in case fit is not yet done)
      This pointer will be valid as far as the data and the fitter class
      have not been deleted. To be used after the fitting

{ return fObjFunction.get(); }