ResultsRegression.h

Go to the documentation of this file.

// @(#)root/tmva $Id$
// Author: Andreas Hoecker, Peter Speckmayer, Joerg Stelzer, Helge Voss
 
/**********************************************************************************
 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis       *
 * Package: TMVA                                                                  *
 * Class  : ResultsRegression                                                     *
 *                                                                                *
 *                                                                                *
 * Description:                                                                   *
 *      Derived-class for result-vectors                                          *
 *                                                                                *
 * Authors (alphabetical):                                                        *
 *      Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland              *
 *      Peter Speckmayer <Peter.Speckmayer@cern.ch>  - CERN, Switzerland          *
 *      Joerg Stelzer   <Joerg.Stelzer@cern.ch>  - CERN, Switzerland              *
 *      Helge Voss      <Helge.Voss@cern.ch>     - MPI-K Heidelberg, Germany      *
 *                                                                                *
 * Copyright (c) 2006:                                                            *
 *      CERN, Switzerland                                                         *
 *      U. of Victoria, Canada                                                    *
 *      MPI-K Heidelberg, Germany                                                 *
 *                                                                                *
 * Redistribution and use in source and binary forms, with or without             *
 * modification, are permitted according to the terms listed in LICENSE           *
 * (see tmva/doc/LICENSE)                                                         *
 **********************************************************************************/
 
#ifndef ROOT_TMVA_ResultsRegression
#define ROOT_TMVA_ResultsRegression
 
//////////////////////////////////////////////////////////////////////////
//                                                                      //
// ResultsRegression                                                    //
//                                                                      //
// Class that is the derived-class for a vector of results              //
//                                                                      //
//////////////////////////////////////////////////////////////////////////
 
#include <vector>
 
#include "TH1F.h"
#include "TH2F.h"
 
#include "TMVA/Results.h"
#include "TMVA/Event.h"
 
namespace TMVA {
 
class MsgLogger;
 
class ResultsRegression : public Results {
 
public:
   ResultsRegression(const DataSetInfo *dsi, TString resultsName);
   ~ResultsRegression();
 
   // setters
   void SetValue(std::vector<Float_t> &value, Int_t ievt);
   void Resize(Int_t entries) { fRegValues.resize(entries); }
 
   using TObject::Clear;
   void Clear(Option_t *) override { fRegValues.clear(); }
 
   // getters
   Long64_t GetSize() const { return fRegValues.size(); }
   const std::vector<Float_t> &operator[](Int_t ievt) const override { return fRegValues.at(ievt); }
   std::vector<std::vector<Float_t>> *GetValueVector() { return &fRegValues; }
 
   TH2F *DeviationAsAFunctionOf(UInt_t varNum, UInt_t tgtNum);
   TH1F *QuadraticDeviation(UInt_t tgtNum, Bool_t truncate = false, Double_t truncvalue = 0.);
   void CreateDeviationHistograms(TString prefix);
 
   Types::EAnalysisType GetAnalysisType() override { return Types::kRegression; }
 
private:
   mutable std::vector<std::vector<Float_t>> fRegValues; ///< mva values (Results)
   mutable MsgLogger *fLogger;                           ///<! message logger
   MsgLogger &Log() const { return *fLogger; }
 
protected:
   ClassDefOverride(ResultsRegression, 3);
};
} // namespace TMVA
 
#endif