/usr/include/root/TMLPAnalyzer.h is in libroot-math-mlp-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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// Author: Christophe.Delaere@cern.ch 25/04/04
/*************************************************************************
* Copyright (C) 1995-2003, Rene Brun and Fons Rademakers. *
* All rights reserved. *
* *
* For the licensing terms see $ROOTSYS/LICENSE. *
* For the list of contributors see $ROOTSYS/README/CREDITS. *
*************************************************************************/
#ifndef ROOT_TMLPAnalyzer
#define ROOT_TMLPAnalyzer
#ifndef ROOT_TObject
#include "TObject.h"
#endif
class TTree;
class TNeuron;
class TSynapse;
class TMultiLayerPerceptron;
class TProfile;
class THStack;
//____________________________________________________________________
//
// TMLPAnalyzer
//
// This utility class contains a set of tests usefull when developing
// a neural network.
// It allows you to check for unneeded variables, and to control
// the network structure.
//
//--------------------------------------------------------------------
class TMLPAnalyzer : public TObject {
private:
TMultiLayerPerceptron *fNetwork;
TTree *fAnalysisTree;
TTree *fIOTree;
protected:
Int_t GetLayers();
Int_t GetNeurons(Int_t layer);
TString GetNeuronFormula(Int_t idx);
const char* GetInputNeuronTitle(Int_t in);
const char* GetOutputNeuronTitle(Int_t out);
public:
TMLPAnalyzer(TMultiLayerPerceptron& net):
fNetwork(&net), fAnalysisTree(0), fIOTree(0) {}
TMLPAnalyzer(TMultiLayerPerceptron* net):
fNetwork(net), fAnalysisTree(0), fIOTree(0) {}
virtual ~TMLPAnalyzer();
void DrawNetwork(Int_t neuron, const char* signal, const char* bg);
void DrawDInput(Int_t i);
void DrawDInputs();
TProfile* DrawTruthDeviation(Int_t outnode=0, Option_t *option="");
THStack* DrawTruthDeviations(Option_t *option="");
TProfile* DrawTruthDeviationInOut(Int_t innode, Int_t outnode=0,
Option_t *option="");
THStack* DrawTruthDeviationInsOut(Int_t outnode=0, Option_t *option="");
void CheckNetwork();
void GatherInformations();
TTree* GetIOTree() const { return fIOTree;}
ClassDef(TMLPAnalyzer, 0) // A simple analysis class for MLP
};
#endif
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