/usr/include/root/TMVA/MethodCompositeBase.h is in libroot-tmva-dev 5.34.19+dfsg-1.2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 | // @(#)root/tmva $Id$
// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss,Or Cohen
/**********************************************************************************
* Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
* Package: TMVA *
* Class : MethodCompositeBase *
* Web : http://tmva.sourceforge.net *
* *
* Description: *
* Virtual base class for all MVA method *
* *
* Authors (alphabetical): *
* Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
* Joerg Stelzer <Joerg.Stelzer@cern.ch> - CERN, Switzerland *
* Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
* Kai Voss <Kai.Voss@cern.ch> - U. of Victoria, Canada *
* Or Cohen <orcohenor@gmail.com> - Weizmann Inst., Israel *
* *
* Copyright (c) 2005: *
* CERN, Switzerland *
* U. of Victoria, Canada *
* MPI-K Heidelberg, Germany *
* LAPP, Annecy, France *
* *
* 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_MethodCompositeBase
#define ROOT_TMVA_MethodCompositeBase
//////////////////////////////////////////////////////////////////////////
// //
// MethodCompositeBase //
// //
// Virtual base class for combining several TMVA method //
// //
//////////////////////////////////////////////////////////////////////////
#include <iosfwd>
#include <vector>
#ifndef ROOT_TMVA_MethodBase
#include "TMVA/MethodBase.h"
#endif
namespace TMVA {
class IMethod;
class MethodCompositeBase : public MethodBase {
public :
MethodCompositeBase( const TString& jobName,
Types::EMVA methodType,
const TString& methodTitle,
DataSetInfo& theData,
const TString& theOption = "",
TDirectory* theTargetDir = NULL );
MethodCompositeBase( Types::EMVA methodType,
DataSetInfo& dsi,
const TString& weightFile,
TDirectory* theBaseDir = 0 );
using MethodBase::ReadWeightsFromStream;
// write weights to file
void AddWeightsXMLTo( void* parent ) const;
void ReadWeightsFromXML( void* wghtnode );
// calculate the MVA value combining all classifiers according to thier fMethodWeight
Double_t GetMvaValue( Double_t* err = 0, Double_t* errUpper = 0 );
using MethodBase::GetMvaValue;
// read weights from file
void ReadWeightsFromStream( std::istream& istr );
// performs classifier training
virtual void Train() = 0;
// create ranking
virtual const Ranking* CreateRanking() = 0;
virtual ~MethodCompositeBase( void );
protected:
void DeclareOptions() = 0;
void ProcessOptions() = 0;
IMethod* GetMethod( const TString& title ) const; // accessor by name
IMethod* GetMethod( const Int_t index ) const; // accessor by index in vector
//the index of the classifier currently boosted
UInt_t fCurrentMethodIdx;
MethodBase* fCurrentMethod;
UInt_t GetCurrentMethodIndex() { return fCurrentMethodIdx; }
IMethod* GetLastMethod() { return fMethods.back(); }
IMethod* GetPreviousMethod() { return (fCurrentMethodIdx>0)?fMethods[fCurrentMethodIdx-1]:0; }
MethodBase* GetCurrentMethod(){ return fCurrentMethod;}
MethodBase* GetCurrentMethod(UInt_t idx){return dynamic_cast<MethodBase*>(fMethods.at(idx)); }
std::vector<IMethod*> fMethods; // vector of all classifiers
//the weight of every classifier used in the GetMVA method
std::vector<Double_t> fMethodWeight;
ClassDef(MethodCompositeBase,0)
};
}
#endif
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