correlationsMultiClass.cxx

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#include "TMVA/correlationsMultiClass.h"
#include "TH2.h"
#include "TPaletteAxis.h"
#include "TMVA/Config.h"
 
 
// this macro plots the correlation matrix of the various input
// variables used in TMVA (e.g. running TMVAnalysis.C).  Signal and
// Background are plotted separately
 
// input: - Input file (result from TMVA),
//        - use of colors or grey scale
//        - use of TMVA plotting TStyle
void TMVA::correlationsMultiClass(TString dataset, TString fin , Bool_t /* isRegression */ , 
                                  Bool_t /* greyScale */ , Bool_t useTMVAStyle  )
{
 
   // set style and remove existing canvas'
   TMVAGlob::Initialize( useTMVAStyle );
 
   // checks if file with name "fin" is already open, and if not opens one
   TFile* file = TMVAGlob::OpenFile( fin );  
   dataset.Data())->Get( "InputVariables_Id" );
   std::vector<TString> classnames(TMVAGlob::GetClassNames(vardir));
   // signal and background or regression problem
   Int_t ncls = classnames.end() - classnames.begin();
   std::vector<TString> hnames(classnames);
 
   const Int_t width = 600;
   for (Int_t ic=0; ic<ncls; ic++) {
      hnames[ic] = TString("CorrelationMatrix")+ hnames[ic];
      ic] );
      cout << "Looking for histo " << hnames[ic] << " in " << fin << endl;
      if(!h2) {
         cout << "Did not find histogram " << hnames[ic] << " in " << fin << endl;
         continue;
      }
 
      TCanvas* c = new TCanvas( hnames[ic], 
                                TString::Format("Correlations between MVA input variables (%s)", 
                                     classnames[ic].Data()), 
                                ic*(width+5)+200, 0, width, width ); 
      Float_t newMargin1 = 0.13;
      Float_t newMargin2 = 0.15;
      if (gConfig().fVariablePlotting.fUsePaperStyle) newMargin2 = 0.13;
 
      c->SetGrid();
      c->SetTicks();
      c->SetLeftMargin  ( newMargin2 );
      c->SetBottomMargin( newMargin2 );
      c->SetRightMargin ( newMargin1 );
      c->SetTopMargin   ( newMargin1 );
      gStyle->SetPalette( 1, 0 );
 
 
      gStyle->SetPaintTextFormat( "3g" );
 
      h2->SetMarkerSize( 1.5 );
      h2->SetMarkerColor( 0 );
      Float_t labelSize = 0.040;
      labelSize );
      labelSize );
      h2->LabelsOption( "d" );
      h2->SetLabelOffset( 0.011 );// label offset on x axis    
 
      h2->Draw("colz"); // color pads   
      c->Update();
 
      // modify properties of paletteAxis
      h2->GetListOfFunctions()->FindObject( "palette" );
      paletteAxis->SetLabelSize( 0.03 );
      paletteAxis->SetX1NDC( paletteAxis->GetX1NDC() + 0.02 );
 
      h2->Draw("textsame");  // add text
 
      // add comment    
      TText* t = new TText( 0.53, 0.88, "Linear correlation coefficients in %" );
      t->SetNDC();
      t->SetTextSize( 0.026 );
      t->AppendPad();    
 
      // TMVAGlob::plot_logo( );
      c->Update();
 
      dataset+"/plots/";
      fname += hnames[ic];
      TMVAGlob::imgconv( c, fname );
   }
}