BoostControlPlots.C

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#include <vector>
#include <string>
#include "tmvaglob.C"


// input: - Input file (result from TMVA),
//        - use of TMVA plotting TStyle
// this macro is based on BDTControlPlots.C
void BoostControlPlots( TString fin = "TMVA.root", Bool_t useTMVAStyle = kTRUE )
{
   // 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 );  

   // get all titles of the method Boost
   TList titles;
   UInt_t ninst = TMVAGlob::GetListOfTitles("Method_Boost",titles);
   if (ninst==0) {
      cout << "Could not locate directory 'Method_Boost' in file " << fin << endl;
      return;
   }
   // loop over all titles
   TIter keyIter(&titles);
   TDirectory *boostdir;
   TKey *key;
   while ((key = TMVAGlob::NextKey(keyIter,"TDirectory"))) {
      boostdir = (TDirectory *)key->ReadObj();
      boostcontrolplots( boostdir );
   }
}

void boostcontrolplots( TDirectory *boostdir ) {

   const Int_t nPlots = 4;

   Int_t width  = 900;
   Int_t height = 900;
   char cn[100];
   const TString titName = boostdir->GetName();
   sprintf( cn, "cv_%s", titName.Data() );
   TCanvas *c = new TCanvas( cn,  Form( "%s Control Plots", titName.Data() ),
                             width, height ); 
   c->Divide(2,3);


   const TString titName = boostdir->GetName();

   TString hname[nPlots]={"Booster_BoostWeight","Booster_MethodWeight","Booster_ErrFraction","Booster_OrigErrFraction"};

   for (Int_t i=0; i<nPlots; i++){
      Int_t color = 4; 
      TPad * cPad = (TPad*)c->cd(i+1);
      TH1 *h = (TH1*) boostdir->Get(hname[i]);
      TString plotname = h->GetName();
      h->SetMaximum(h->GetMaximum()*1.3);
      h->SetMinimum( 0 );
      h->SetMarkerColor(color);
      h->SetMarkerSize( 0.7 );
      h->SetMarkerStyle( 24 );
      h->SetLineWidth(2);
      h->SetLineColor(color);
      h->Draw();
      c->Update();
   }

   // draw combined ROC plots

   TString hname_roctest[2] ={"Booster_ROCIntegral_test",  "Booster_ROCIntegralBoosted_test"};
   TString hname_roctrain[2]={"Booster_ROCIntegral_train", "Booster_ROCIntegralBoosted_train"};
   TString htitle[2] = {"ROC integral of single classifier", "ROC integral of boosted method"}

   for (Int_t i=0; i<2; i++){
      Int_t color = 4; 
      TPad * cPad = (TPad*)c->cd(nPlots+i+1);
      TH1 *htest  = (TH1*) boostdir->Get(hname_roctest[i]);
      TH1 *htrain = (TH1*) boostdir->Get(hname_roctrain[i]);
      htest->SetTitle(htitle[i]);
      htest->SetMaximum(1.0);
      htest->SetMinimum(0.0);
      htest->SetMarkerColor(color);
      htest->SetMarkerSize( 0.7 );
      htest->SetMarkerStyle( 24 );
      htest->SetLineWidth(2);
      htest->SetLineColor(color);
      htest->Draw();
      htrain->SetMaximum(1.0);
      htrain->SetMinimum(0.0);
      htrain->SetMarkerColor(color-2);
      htrain->SetMarkerSize( 0.7 );
      htrain->SetMarkerStyle( 24 );
      htrain->SetLineWidth(2);
      htrain->SetLineColor(color-2);
      htrain->Draw("same");

      TLegend *legend= new TLegend( cPad->GetLeftMargin(), 
                                    0.2 + cPad->GetBottomMargin(),
                                    cPad->GetLeftMargin() + 0.6, 
                                    cPad->GetBottomMargin() );
      legend->AddEntry(htest,  TString("testing sample"),  "L");
      legend->AddEntry(htrain, TString("training sample (orig. weights)"), "L");
      legend->SetFillStyle( 1 );
      legend->SetBorderSize(1);
      legend->SetMargin( 0.3 );
      legend->Draw("same");

      c->Update();
   }

   // write to file
   TString fname = Form( "plots/%s_ControlPlots", titName.Data() );
   TMVAGlob::imgconv( c, fname );
   
}

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