/usr/include/root/TMVA/MCFitter.h is in libroot-tmva-dev 5.34.30-0ubuntu8.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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// Author: Andreas Hoecker, Peter Speckmayer, Joerg Stelzer, Helge Voss
/**********************************************************************************
* Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
* Package: TMVA *
* Class : MCFitter *
* Web : http://tmva.sourceforge.net *
* *
* 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 *
* (http://tmva.sourceforge.net/LICENSE) *
**********************************************************************************/
#ifndef ROOT_TMVA_MCFitter
#define ROOT_TMVA_MCFitter
//////////////////////////////////////////////////////////////////////////
// //
// MCFitter //
// //
// Fitter using Monte Carlo sampling of parameters //
// //
//////////////////////////////////////////////////////////////////////////
#ifndef ROOT_TMVA_FitterBase
#include "TMVA/FitterBase.h"
#endif
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 );
private:
void DeclareOptions();
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)
ClassDef(MCFitter,0) // Fitter using Monte Carlo sampling of parameters
};
} // namespace TMVA
#endif
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