/usr/include/root/TMVA/LDA.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 : LDA *
* Web : http://tmva.sourceforge.net *
* *
* Description: *
* Local LDA method used by MethodKNN to compute MVA value. *
* This is experimental code under development. This class computes *
* parameters of signal and background PDFs using Gaussian aproximation. *
* *
* Author: *
* John Alison John.Alison@cern.ch - University of Pennsylvania, USA *
* *
* Copyright (c) 2007: *
* CERN, Switzerland *
* MPI-K Heidelberg, Germany *
* University of Pennsylvania, USA *
* *
* 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_LDA
#define ROOT_TMVA_LDA
// C/C++
#include <map>
#include <vector>
// ROOT
#ifndef ROOT_Rtypes
#include "Rtypes.h"
#endif
#ifndef ROOT_TMatrixFfwd
#include "TMatrixFfwd.h"
#endif
typedef std::vector<std::vector<Float_t> > LDAEvents;
namespace TMVA {
class MsgLogger;
class LDA {
public:
LDA(Float_t tolerence = 1.0e-5, Bool_t debug = false);
~LDA();
// Signal probability with Gaussian approximation
Float_t GetProb(const std::vector<Float_t>& x, Int_t k);
// Log likelihood function with Gaussian approximation
Float_t GetLogLikelihood(const std::vector<Float_t>& x, Int_t k);
// Create LDA matrix using local events found by knn method
void Initialize(const LDAEvents& inputSignal, const LDAEvents& inputBackground);
private:
// Probability value using Gaussian approximation
Float_t FSub(const std::vector<Float_t>& x, Int_t k);
MsgLogger& Log() const { return *fLogger; }
private:
// data members
Float_t fTolerence; // documentation!
UInt_t fNumParams; // documentation!
std::map<Int_t, std::vector<Float_t> > fMu; // documentation!
TMatrixF* fSigma; // documentation!
TMatrixF* fSigmaInverse; // documentation!
std::map<Int_t, Float_t> fEventFraction; // documentation!
Bool_t fDebug; // documentation!
mutable MsgLogger *fLogger; // message logging service
};
}
#endif
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