/usr/include/root/TMVA/ResultsClassification.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 | // @(#)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 : ResultsClassification *
* Web : http://tmva.sourceforge.net *
* *
* Description: *
* Base-class for result-vectors *
* *
* Authors (alphabetical): *
* Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
* Peter Speckmayer <Peter.Speckmayer@cern.ch> - CERN, Switzerland *
* Joerg Stelzer <Joerg.Stelzer@cern.ch> - CERN, Switzerland *
* Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
* *
* Copyright (c) 2006: *
* CERN, Switzerland *
* U. of Victoria, Canada *
* 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_ResultsClassification
#define ROOT_TMVA_ResultsClassification
//////////////////////////////////////////////////////////////////////////
// //
// ResultsClassification //
// //
// Class that is the base-class for a vector of result //
// //
//////////////////////////////////////////////////////////////////////////
#include <vector>
#ifndef ROOT_TMVA_Results
#include "TMVA/Results.h"
#endif
namespace TMVA {
class MsgLogger;
class ResultsClassification : public Results {
public:
ResultsClassification( const DataSetInfo* dsi, TString resultsName );
~ResultsClassification();
// setters
void SetValue( Float_t value, Int_t ievt );
void Resize( Int_t entries ) { fMvaValues.resize( entries ); }
void Clear() { fMvaValues.clear(); }
// getters
Long64_t GetSize() const { return fMvaValues.size(); }
virtual const std::vector< Float_t >& operator [] ( Int_t ievt ) const { fRet[0] = fMvaValues[ievt]; return fRet; }
std::vector<Float_t>* GetValueVector() { return &fMvaValues; }
Types::EAnalysisType GetAnalysisType() { return Types::kClassification; }
private:
std::vector< Float_t > fMvaValues; //! mva values (Results)
mutable std::vector< Float_t > fRet; //! return val
mutable MsgLogger* fLogger; //! message logger
MsgLogger& Log() const { return *fLogger; }
};
}
#endif
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