/usr/include/root/TMVA/TNeuronInputSqSum.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.
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: Matt Jachowski
/**********************************************************************************
* Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
* Package: TMVA *
* Class : TMVA::TNeuronInputSqSum *
* Web : http://tmva.sourceforge.net *
* *
* Description: *
* TNeuron input calculator -- calculates the square *
* of the weighted sum of inputs. *
* *
* Authors (alphabetical): *
* Matt Jachowski <jachowski@stanford.edu> - Stanford University, USA *
* *
* Copyright (c) 2005: *
* CERN, Switzerland *
* *
* 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_TNeuronInputSqSum
#define ROOT_TMVA_TNeuronInputSqSum
//////////////////////////////////////////////////////////////////////////
// //
// TNeuronInputSqSum //
// //
// TNeuron input calculator -- calculates the squared weighted sum of //
// inputs //
// //
//////////////////////////////////////////////////////////////////////////
#ifndef ROOT_TObject
#include "TObject.h"
#endif
#ifndef ROOT_TString
#include "TString.h"
#endif
#ifndef ROOT_TMVA_TNeuronInput
#include "TMVA/TNeuronInput.h"
#endif
#ifndef ROOT_TMVA_TNeuron
#include "TMVA/TNeuron.h"
#endif
namespace TMVA {
class TNeuronInputSqSum : public TNeuronInput {
public:
TNeuronInputSqSum() {}
virtual ~TNeuronInputSqSum() {}
// calculate the input value for the neuron
Double_t GetInput( const TNeuron* neuron ) const {
if (neuron->IsInputNeuron()) return 0;
Double_t result = 0;
for (Int_t i=0; i < neuron->NumPreLinks(); i++) {
Double_t val = neuron->PreLinkAt(i)->GetWeightedValue();
result += val*val;
}
return result;
}
// name of the class
TString GetName() { return "Sum of weighted activations squared"; }
ClassDef(TNeuronInputSqSum,0) // Calculates square of weighted sum of neuron inputs
};
} // namespace TMVA
#endif
|