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#include <iostream>
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#include <vector>
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#include "TList.h"
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#include "TROOT.h"
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#include "TKey.h"
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#include "TString.h"
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#include "TControlBar.h"
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#include "TObjString.h"
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#include "tmvaglob.C"
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// some global lists
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static TList* TMVAGui_keyContent;
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static std::vector<TString> TMVAGui_inactiveButtons;
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TList* GetKeyList( const TString& pattern )
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{
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TList* list = new TList();
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TIter next( TMVAGui_keyContent );
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TKey* key(0);
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while ((key = (TKey*)next())) {
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if (TString(key->GetName()).Contains( pattern )) { list->Add( new TObjString( key->GetName() ) ); }
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}
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return list;
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}
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// utility function
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void ActionButton( TControlBar* cbar,
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const TString& title, const TString& macro, const TString& comment,
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const TString& buttonType, TString requiredKey = "")
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{
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cbar->AddButton( title, macro, comment, buttonType );
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// search
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if (requiredKey != "") {
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Bool_t found = kFALSE;
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TIter next( TMVAGui_keyContent );
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TKey* key(0);
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while ((key = (TKey*)next())) {
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if (TString(key->GetName()).Contains( requiredKey )) { found = kTRUE; break; }
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}
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if (!found) TMVAGui_inactiveButtons.push_back( title );
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}
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}
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// main GUI
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void TMVAGui( const char* fName = "TMVA.root" )
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{
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// Use this script in order to run the various individual macros
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// that plot the output of TMVA (e.g. running TMVAClassification.C),
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// stored in the file "TMVA.root"
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TString curMacroPath(gROOT->GetMacroPath());
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// uncomment next line for macros submitted to next root version
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gROOT->SetMacroPath(curMacroPath+":./:$ROOTSYS/tmva/test/:");
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// for the sourceforge version, including $ROOTSYS/tmva/test in the
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// macro path is a mistake, especially if "./" was not part of path
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// add ../macros to the path (comment out next line for the ROOT version of TMVA)
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// gROOT->SetMacroPath(curMacroPath+":../macros:");
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TString curIncludePath=gSystem->GetIncludePath();
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TString newIncludePath=TString("-I../ ")+curIncludePath;
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gSystem->SetIncludePath(newIncludePath);
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cout << "--- Launch TMVA GUI to view input file: " << fName << endl;
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// init
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TMVAGui_inactiveButtons.clear();
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// check if file exist
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TFile* file = TFile::Open( fName );
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if (!file) {
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cout << "==> Abort TMVAGui, please verify filename" << endl;
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return;
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}
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// find all references
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TMVAGui_keyContent = (TList*)file->GetListOfKeys()->Clone();
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// close file
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file->Close();
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TString defaultRequiredClassifier = "";
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// gROOT->Reset();
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// gStyle->SetScreenFactor(2); // if you have a large screen, select 1,2 or 1.4
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// create the control bar
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TControlBar* cbar = new TControlBar( "vertical", "TMVA Plotting Macros for Classification", 0, 0 );
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const TString buttonType( "button" );
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// configure buttons
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Int_t ic = 1;
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// find all input variables types
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TList* keylist = GetKeyList( "InputVariables" );
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TListIter it( keylist );
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TObjString* str = 0;
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char ch = 'a';
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while ((str = (TObjString*)it())) {
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TString tmp = str->GetString();
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TString title = Form( "Input variables '%s'-transformed (training sample)",
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tmp.ReplaceAll("InputVariables_","").Data() );
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if (tmp.Contains( "Id" )) title = "Input variables (training sample)";
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ActionButton( cbar,
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Form( "(%i%c) %s", ic, ch++, title.Data() ),
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Form( ".x variables.C(\"%s\",\"%s\",\"%s\")", fName, str->GetString().Data(), title.Data() ),
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Form( "Plots all '%s'-transformed input variables (macro variables.C(...))", str->GetString().Data() ),
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buttonType, str->GetString() );
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}
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ic++;
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// correlation scatter plots
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it.Reset(); ch = 'a';
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while ((str = (TObjString*)it())) {
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TString tmp = str->GetString();
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TString title = Form( "Input variable correlations '%s'-transformed (scatter profiles)",
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tmp.ReplaceAll("InputVariables_","").Data() );
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if (tmp.Contains( "Id" )) title = "Input variable correlations (scatter profiles)";
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ActionButton( cbar,
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Form( "(%i%c) %s", ic, ch++, title.Data() ),
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Form( ".x CorrGui.C(\"%s\",\"%s\",\"%s\")", fName, str->GetString().Data(), title.Data() ),
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Form( "Plots all correlation profiles between '%s'-transformed input variables (macro CorrGui.C(...))",
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str->GetString().Data() ),
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buttonType, str->GetString() );
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}
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TString title;
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// coefficients
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title =Form( "(%i) Input Variable Linear Correlation Coefficients", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x correlations.C(\"%s\")", fName ),
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"Plots signal and background correlation summaries for all input variables (macro correlations.C)",
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buttonType );
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title =Form( "(%ia) Classifier Output Distributions (test sample)", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x mvas.C(\"%s\",0)", fName ),
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"Plots the output of each classifier for the test data (macro mvas.C(...,0))",
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buttonType, defaultRequiredClassifier );
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title =Form( "(%ib) Classifier Output Distributions (test and training samples superimposed)", ic );
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ActionButton( cbar,
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title,
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Form( ".x mvas.C(\"%s\",3)", fName ),
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"Plots the output of each classifier for the test (histograms) and training (dots) data (macro mvas.C(...,3))",
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buttonType, defaultRequiredClassifier );
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title = Form( "(%ic) Classifier Probability Distributions (test sample)", ic );
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ActionButton( cbar,
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title,
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Form( ".x mvas.C(\"%s\",1)", fName ),
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"Plots the probability of each classifier for the test data (macro mvas.C(...,1))",
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buttonType, defaultRequiredClassifier );
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title =Form( "(%id) Classifier Rarity Distributions (test sample)", ic );
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ActionButton( cbar,
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title,
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Form( ".x mvas.C(\"%s\",2)", fName ),
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"Plots the Rarity of each classifier for the test data (macro mvas.C(...,2)) - background distribution should be uniform",
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buttonType, defaultRequiredClassifier );
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title =Form( "(%ia) Classifier Cut Efficiencies", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x mvaeffs.C+(\"%s\")", fName ),
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"Plots signal and background efficiencies versus cut on classifier output (macro mvaeffs.C)",
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buttonType, defaultRequiredClassifier );
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title = Form( "(%ib) Classifier Background Rejection vs Signal Efficiency (ROC curve)", ic );
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ActionButton( cbar,
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title,
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Form( ".x efficiencies.C(\"%s\")", fName ),
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"Plots background rejection vs signal efficiencies (macro efficiencies.C) [\"ROC\" stands for \"Receiver Operation Characteristics\"]",
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buttonType, defaultRequiredClassifier );
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title = Form( "(%i) Parallel Coordinates (requires ROOT-version >= 5.17)", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x paracoor.C(\"%s\")", fName ),
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"Plots parallel coordinates for classifiers and input variables (macro paracoor.C, requires ROOT >= 5.17)",
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buttonType, defaultRequiredClassifier );
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// parallel coordinates only exist since ROOT 5.17
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#if ROOT_VERSION_CODE < ROOT_VERSION(5,17,0)
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TMVAGui_inactiveButtons.push_back( title );
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#endif
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title =Form( "(%i) PDFs of Classifiers (requires \"CreateMVAPdfs\" option set)", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x probas.C(\"%s\")", fName ),
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"Plots the PDFs of the classifier output distributions for signal and background - if requested (macro probas.C)",
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buttonType, defaultRequiredClassifier );
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title = Form( "(%i) Likelihood Reference Distributiuons", ++ic);
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ActionButton( cbar,
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title,
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Form( ".x likelihoodrefs.C(\"%s\")", fName ),
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"Plots to verify the likelihood reference distributions (macro likelihoodrefs.C)",
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buttonType, "Likelihood" );
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title = Form( "(%ia) Network Architecture (MLP)", ++ic );
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TString call = Form( ".x network.C+g(\"%s\")", fName );
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ActionButton( cbar,
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title,
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call,
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"Plots the MLP weights (macro network.C)",
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buttonType, "MLP" );
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title = Form( "(%ib) Network Convergence Test (MLP)", ic );
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ActionButton( cbar,
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title,
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Form( ".x annconvergencetest.C(\"%s\")", fName ),
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"Plots error estimator versus training epoch for training and test samples (macro annconvergencetest.C)",
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buttonType, "MLP" );
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title = Form( "(%i) Decision Trees (BDT)", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x BDT.C+(\"%s\")", fName ),
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"Plots the Decision Trees trained by BDT algorithms (macro BDT.C(itree,...))",
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buttonType, "BDT" );
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title = Form( "(%i) Decision Tree Control Plots (BDT)", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x BDTControlPlots.C(\"%s\")", fName ),
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"Plots to monitor boosting and pruning of decision trees (macro BDTControlPlots.C)",
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buttonType, "BDT" );
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// ActionButton( cbar,
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// Form( "(%i) Monitor Decision Tree Boosting", ++ic ),
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// Form( ".x BDTBoostWatch.C+(\"%s\")", fName ),
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// "Plots separation obtained by BDT method as function of boosting steps (macro BDTBoostWatch.C(itree,...))",
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// buttonType, "BDT" );
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// ActionButton( cbar,
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// Form( "(%i) Rule Ensemble Importance Plots (RuleFit)", ++ic ),
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// Form( ".x rulevis.C(\"%s\",0)", fName ),
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// "Plots all input variables with rule ensemble weights, including linear terms (macro rulevis.C)",
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// buttonType, "RuleFit" );
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title = Form( "(%i) Plot Foams (PDEFoam)", ++ic );
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ActionButton( cbar,
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title,
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".x PlotFoams.C",
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"Plot Foams (macro PlotFoams.C)",
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buttonType, "PDEFoam" );
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title = Form( "(%i) General Boost Control Plots", ++ic );
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ActionButton( cbar,
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title,
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Form( ".x BoostControlPlots.C(\"%s\")", fName ),
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"Plots to monitor boosting of general classifiers (macro BoostControlPlots.C)",
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buttonType, "Boost" );
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cbar->AddSeparator();
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cbar->AddButton( Form( "(%i) Quit", ++ic ), ".q", "Quit", buttonType );
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// set the style
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cbar->SetTextColor("black");
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// there seems to be a bug in ROOT: font jumps back to default after pressing on >2 different buttons
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// cbar->SetFont("-adobe-helvetica-bold-r-*-*-12-*-*-*-*-*-iso8859-1");
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// draw
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cbar->Show();
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// indicate inactive buttons
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for (UInt_t i=0; i<TMVAGui_inactiveButtons.size(); i++) cbar->SetButtonState(TMVAGui_inactiveButtons[i], 3 );
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if (TMVAGui_inactiveButtons.size() > 0) {
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cout << "=== Note: inactive buttons indicate classifiers that were not trained, ===" << endl;
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cout << "=== or functionalities that were not invoked during the training ===" << endl;
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}
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gROOT->SaveContext();
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}
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