/usr/include/root/TMVA/OptimizeConfigParameters.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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* Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
* Package: TMVA *
* Class : OptimizeConfigParameters *
* Web : http://tmva.sourceforge.net *
* *
* Description: The OptimizeConfigParameters takes care of "scanning/fitting" *
* different tuning parameters in order to find the best set of *
* tuning paraemters which will be used in the end *
* *
* Authors (alphabetical): *
* 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://ttmva.sourceforge.net/LICENSE) *
**********************************************************************************/
#include <map>
#ifndef ROOT_TMVA_OptimizeConfigParameters
#define ROOT_TMVA_OptimizeConfigParameters
#ifndef ROOT_Rtypes
#include "Rtypes.h"
#endif
#ifndef ROOT_TString
#include "TString.h"
#endif
#ifndef ROOT_TMVA_MethodBase
#include "TMVA/MethodBase.h"
#endif
#ifndef ROOT_TMVA_Interval
#include "TMVA/Interval.h"
#endif
#ifndef ROOT_TMVA_DataSet
#include "TMVA/DataSet.h"
#endif
#ifndef ROOT_TMVA_IFitterTarget
#ifndef ROOT_IFitterTarget
#include "IFitterTarget.h"
#endif
#endif
#ifndef ROOT_TH1
#include "TH1.h"
#endif
namespace TMVA {
class MethodBase;
class MsgLogger;
class OptimizeConfigParameters : public IFitterTarget {
public:
//default constructor
OptimizeConfigParameters(MethodBase * const method, std::map<TString,TMVA::Interval*> tuneParameters, TString fomType="Separation", TString optimizationType = "GA");
// destructor
virtual ~OptimizeConfigParameters();
// could later be changed to be set via option string...
// but for now it's impler like this
std::map<TString,Double_t> optimize();
private:
std::vector< int > GetScanIndices( int val, std::vector<int> base);
void optimizeScan();
void optimizeFit();
Double_t EstimatorFunction( std::vector<Double_t> & );
Double_t GetFOM();
MethodBase* GetMethod(){return fMethod;}
void GetMVADists();
Double_t GetSeparation();
Double_t GetROCIntegral();
Double_t GetSigEffAtBkgEff( Double_t bkgEff = 0.1);
Double_t GetBkgEffAtSigEff( Double_t sigEff = 0.5);
Double_t GetBkgRejAtSigEff( Double_t sigEff = 0.5);
MethodBase* const fMethod; // The MVA method to be evaluated
std::vector<Float_t> fFOMvsIter; // graph showing the develompment of the Figure Of Merit values during the fit
std::map<TString,TMVA::Interval*> fTuneParameters; // parameters included in the tuning
std::map<TString,Double_t> fTunedParameters; // parameters included in the tuning
std::map< std::vector<Double_t> , Double_t> fAlreadyTrainedParCombination; // save parameters for which the FOM is already known (GA seems to evaluate the same parameters several times)
TString fFOMType; // the FOM type (Separation, ROC integra.. whaeter you implemented..
TString fOptimizationFitType; // which type of optimisation procedure to be used
TH1D *fMvaSig; // MVA distrituion for signal events, used for spline fit
TH1D *fMvaBkg; // MVA distrituion for bakgr. events, used for spline fit
TH1D *fMvaSigFineBin; // MVA distrituion for signal events
TH1D *fMvaBkgFineBin; // MVA distrituion for bakgr. events
Bool_t fNotDoneYet; // flat to indicate of Method Transformations have been optained yet or not (normally done in MethodBase::TrainMethod)
mutable MsgLogger* fLogger; // message logger
MsgLogger& Log() const { return *fLogger; }
ClassDef(OptimizeConfigParameters,0) // Interface to different separation critiera used in training algorithms
};
} // namespace TMVA
#endif
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