| 1 | /* ======================================================================== *\
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| 2 | !
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| 3 | ! *
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| 4 | ! * This file is part of MARS, the MAGIC Analysis and Reconstruction
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| 5 | ! * Software. It is distributed to you in the hope that it can be a useful
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| 6 | ! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
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| 7 | ! * It is distributed WITHOUT ANY WARRANTY.
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| 8 | ! *
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| 9 | ! * Permission to use, copy, modify and distribute this software and its
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| 10 | ! * documentation for any purpose is hereby granted without fee,
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| 11 | ! * provided that the above copyright notice appear in all copies and
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| 12 | ! * that both that copyright notice and this permission notice appear
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| 13 | ! * in supporting documentation. It is provided "as is" without express
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| 14 | ! * or implied warranty.
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| 15 | ! *
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| 16 | !
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| 17 | !
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| 18 | ! Author(s): Thomas Hengstebeck 3/2003 <mailto:hengsteb@alwa02.physik.uni-siegen.de>
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| 19 | !
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| 20 | ! Copyright: MAGIC Software Development, 2000-2003
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| 21 | !
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| 22 | !
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| 23 | \* ======================================================================== */
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| 24 |
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| 25 | /////////////////////////////////////////////////////////////////////////////
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| 26 | //
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| 27 | // MRanForestCalc
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| 28 | //
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| 29 | // Calculates the hadroness of an event. It calculates a mean value of all
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| 30 | // classifications by the trees in a previously grown random forest.
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| 31 | //
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| 32 | // To use only n trees for your calculation use:
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| 33 | // MRanForestCalc::SetUseNumTrees(n);
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| 34 | //
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| 35 | ////////////////////////////////////////////////////////////////////////////
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| 36 | #include "MRanForestCalc.h"
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| 37 |
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| 38 | #include "MHMatrix.h" // must be before MLogManip.h
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| 39 | #include "MDataArray.h"
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| 40 |
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| 41 | #include "MLog.h"
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| 42 | #include "MLogManip.h"
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| 43 |
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| 44 | #include "MParList.h"
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| 45 |
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| 46 | #include "MRanTree.h"
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| 47 | #include "MRanForest.h"
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| 48 |
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| 49 | #include "MHadronness.h"
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| 50 |
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| 51 | #include "MEvtLoop.h"
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| 52 | #include "MTaskList.h"
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| 53 | #include "MFillH.h"
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| 54 | #include "MStatusDisplay.h"
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| 55 | #include "MRanForestGrow.h"
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| 56 | #include "MRanForestFill.h"
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| 57 |
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| 58 | #include "MWriteRootFile.h"
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| 59 | #include "MReadTree.h"
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| 60 |
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| 61 | ClassImp(MRanForestCalc);
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| 62 |
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| 63 | using namespace std;
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| 64 |
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| 65 | static const TString gsDefName = "MRanForestCalc";
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| 66 | static const TString gsDefTitle = "Tree Classification Loop 1/2";
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| 67 |
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| 68 | // --------------------------------------------------------------------------
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| 69 | //
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| 70 | // Setup histograms and the number of distances which are used for
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| 71 | // avaraging in CalcDist
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| 72 | //
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| 73 | MRanForestCalc::MRanForestCalc(const char *name, const char *title)
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| 74 | : fNum(100), fHadronnessName("MHadronness"), fData(NULL)
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| 75 | {
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| 76 | //
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| 77 | // set the name and title of this object
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| 78 | //
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| 79 | fName = name ? name : gsDefName.Data();
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| 80 | fTitle = title ? title : gsDefTitle.Data();
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| 81 | }
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| 82 |
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| 83 | // --------------------------------------------------------------------------
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| 84 | //
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| 85 | // Delete the data chains
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| 86 | //
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| 87 | MRanForestCalc::~MRanForestCalc()
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| 88 | {
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| 89 | // delete fData;
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| 90 | }
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| 91 |
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| 92 | // --------------------------------------------------------------------------
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| 93 | //
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| 94 | // Needs:
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| 95 | // - MatrixGammas [MHMatrix]
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| 96 | // - MatrixHadrons [MHMatrix]
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| 97 | // - MHadronness
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| 98 | // - all data containers used to build the matrixes
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| 99 | //
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| 100 | // The matrix object can be filles using MFillH. And must be of the same
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| 101 | // number of columns (with the same meaning).
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| 102 | //
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| 103 | Int_t MRanForestCalc::PreProcess(MParList *plist)
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| 104 | {
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| 105 | fRanForest = (MRanForest*)plist->FindObject("MRanForest");
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| 106 | if (!fRanForest)
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| 107 | {
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| 108 | *fLog << err << dbginf << "MRanForest not found... aborting." << endl;
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| 109 | return kFALSE;
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| 110 | }
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| 111 |
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| 112 | fRanTree = (MRanTree*)plist->FindObject("MRanTree");
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| 113 | if (!fRanTree)
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| 114 | {
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| 115 | *fLog << err << dbginf << "MRanTree not found... aborting." << endl;
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| 116 | return kFALSE;
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| 117 | }
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| 118 |
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| 119 | /*if(!fRanForest->GetCurTree())
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| 120 | {
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| 121 | *fLog << err << dbginf << "MRanForest does not contain trees... aborting." << endl;
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| 122 | return kFALSE;
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| 123 | }*/
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| 124 |
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| 125 | fData = fRanTree->GetRules();
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| 126 |
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| 127 | if (!fData)
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| 128 | {
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| 129 | *fLog << err << dbginf << "Error matrix doesn't contain columns... aborting." << endl;
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| 130 | return kFALSE;
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| 131 | }
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| 132 |
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| 133 | if (!fData->PreProcess(plist))
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| 134 | {
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| 135 | *fLog << err << dbginf << "PreProcessing of the MDataArray failed for the columns failed... aborting." << endl;
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| 136 | return kFALSE;
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| 137 | }
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| 138 |
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| 139 | fHadroness = (MHadronness*)plist->FindCreateObj("MHadronness", fHadronnessName);
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| 140 | if (!fHadroness)
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| 141 | return kFALSE;
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| 142 |
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| 143 | return kTRUE;
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| 144 | }
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| 145 |
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| 146 | // --------------------------------------------------------------------------
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| 147 | //
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| 148 | //
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| 149 | Int_t MRanForestCalc::Process()
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| 150 | {
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| 151 | // first copy the data from the data array to a vector event
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| 152 | TVector event;
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| 153 | *fData >> event;
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| 154 |
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| 155 | Double_t hadroness=fRanForest->CalcHadroness(event);
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| 156 | fHadroness->SetHadronness(hadroness);
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| 157 |
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| 158 | return kTRUE;
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| 159 | }
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| 160 |
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| 161 | Bool_t MRanForestCalc::Grow(MHMatrix *matrixg,MHMatrix *matrixh,Int_t ntree,
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| 162 | Int_t numtry,Int_t ndsize,const char* treefile,
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| 163 | const char* treename,const char* contname,
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| 164 | const char* hgininame)
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| 165 | {
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| 166 |
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| 167 | treename = treename ? treename : "Tree";
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| 168 | contname = contname ? contname : "MRanTree";
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| 169 | hgininame = hgininame ? hgininame : "MHRanForestGini";
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| 170 |
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| 171 | if (!matrixg->IsValid())
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| 172 | {
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| 173 | *fLog << err << dbginf << " MRanForestCalc::Grow - ERROR: matrixg not valid." << endl;
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| 174 | return kFALSE;
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| 175 | }
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| 176 | if(!matrixh->IsValid())
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| 177 | {
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| 178 | *fLog << err << dbginf << " MRanForestCalc::Grow - ERROR: matrixh not valid." << endl;
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| 179 | return kFALSE;
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| 180 | }
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| 181 |
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| 182 | MEvtLoop run(GetName());
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| 183 | MTaskList tlist;
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| 184 | MParList plist;
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| 185 | plist.AddToList(&tlist);
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| 186 | plist.AddToList(matrixg);
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| 187 | plist.AddToList(matrixh);
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| 188 |
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| 189 | // creating training task and setting parameters
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| 190 | MRanForestGrow rfgrow;
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| 191 | rfgrow.SetNumTrees(ntree); // number of trees
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| 192 | rfgrow.SetNumTry(numtry); // number of trials in random split selection
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| 193 | rfgrow.SetNdSize(ndsize); // limit for nodesize
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| 194 | tlist.AddToList(&rfgrow);
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| 195 |
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| 196 | if(treefile){
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| 197 | MWriteRootFile rfwrite(treefile);
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| 198 | rfwrite.AddContainer(contname,treename);
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| 199 | tlist.AddToList(&rfwrite);
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| 200 | }
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| 201 |
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| 202 | MFillH fillh(hgininame);
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| 203 | tlist.AddToList(&fillh);
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| 204 |
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| 205 | run.SetParList(&plist);
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| 206 |
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| 207 | // Execute tree growing
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| 208 | if (!run.Eventloop())
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| 209 | {
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| 210 | *fLog << err << dbginf << "Evtloop in MRanForestCalc::Grow failed." << endl;
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| 211 | return kFALSE;
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| 212 | }
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| 213 | tlist.PrintStatistics(0, kTRUE);
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| 214 |
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| 215 | if (TestBit(kEnableGraphicalOutput))
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| 216 | plist.FindObject(hgininame)->DrawClone();
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| 217 |
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| 218 | return kTRUE;
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| 219 | }
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| 220 |
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| 221 | Bool_t MRanForestCalc::Fill(Int_t ntree,const char* treefile,const char* treename)
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| 222 | {
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| 223 | treefile = treefile ? treefile : "RF.root";
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| 224 | treename = treename ? treename : "Tree";
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| 225 |
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| 226 | MParList plist;
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| 227 |
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| 228 | MTaskList tlist;
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| 229 | plist.AddToList(&tlist);
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| 230 |
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| 231 | MReadTree read(treename,treefile);
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| 232 | read.DisableAutoScheme();
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| 233 |
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| 234 | MRanForestFill rffill;
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| 235 | rffill.SetNumTrees(ntree);
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| 236 |
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| 237 | tlist.AddToList(&read);
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| 238 | tlist.AddToList(&rffill);
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| 239 |
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| 240 | MEvtLoop run(GetName());
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| 241 | run.SetParList(&plist);
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| 242 |
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| 243 | //
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| 244 | // Execute tree reading
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| 245 | //
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| 246 | if (!run.Eventloop())
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| 247 | {
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| 248 | *fLog << err << dbginf << "Evtloop in MRanForestCalc::Fill failed." << endl;
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| 249 | return kFALSE;
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| 250 | }
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| 251 | tlist.PrintStatistics(0, kTRUE);
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| 252 |
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| 253 | return kTRUE;
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| 254 | }
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