MCFitter.h

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// @(#)root/tmva $Id$
// Author: Andreas Hoecker, Peter Speckmayer, Joerg Stelzer, Helge Voss
 
/**********************************************************************************
 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis       *
 * Package: TMVA                                                                  *
 * Class  : MCFitter                                                              *
 *                                             *
 *                                                                                *
 * Description:                                                                   *
 *      Fitter using Monte Carlo sampling of parameters                           *
 *                                                                                *
 * Authors (alphabetical):                                                        *
 *      Andreas Hoecker  <Andreas.Hocker@cern.ch> - CERN, Switzerland             *
 *      Peter Speckmayer <speckmay@mail.cern.ch>  - CERN, Switzerland             *
 *      Joerg Stelzer    <Joerg.Stelzer@cern.ch>  - CERN, Switzerland             *
 *      Helge Voss       <Helge.Voss@cern.ch>     - MPI-K Heidelberg, Germany     *
 *                                                                                *
 * Copyright (c) 2005:                                                            *
 *      CERN, Switzerland                                                         *
 *      MPI-K Heidelberg, Germany                                                 *
 *                                                                                *
 * Redistribution and use in source and binary forms, with or without             *
 * modification, are permitted according to the terms listed in LICENSE           *
 * (see tmva/doc/LICENSE)                                          *
 **********************************************************************************/
 
#ifndef ROOT_TMVA_MCFitter
#define ROOT_TMVA_MCFitter
 
//////////////////////////////////////////////////////////////////////////
//                                                                      //
// MCFitter                                                             //
//                                                                      //
// Fitter using Monte Carlo sampling of parameters                      //
//                                                                      //
//////////////////////////////////////////////////////////////////////////
 
#include "TMVA/FitterBase.h"
#include <vector>
 
namespace TMVA {
 
   class MCFitter : public FitterBase {
 
   public:
 
      MCFitter( IFitterTarget& target, const TString& name,
                const std::vector<TMVA::Interval*>& ranges, const TString& theOption );
 
      virtual ~MCFitter() {}
 
      void SetParameters( Int_t cycles );
 
      Double_t Run( std::vector<Double_t>& pars ) override;
 
   private:
 
      void DeclareOptions() override;
 
      Int_t    fSamples;     ///< number of MC samples
      Double_t fSigma;       ///< new samples are generated randomly with a gaussian probability with fSigma around the current best value
      UInt_t   fSeed;        ///< Seed for the random generator (0 takes random seeds)
 
      ClassDefOverride(MCFitter,0); //  Fitter using Monte Carlo sampling of parameters
   };
 
} // namespace TMVA
 
#endif