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Reference Guide
PDEFoamDecisionTreeDensity.h
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1 // @(#)root/tmva $Id$
2 // Author: Alexander Voigt
3 
4 /**********************************************************************************
5  * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6  * Package: TMVA *
7  * Classes: PDEFoamDecisionTreeDensity *
8  * Web : http://tmva.sourceforge.net *
9  * *
10  * Description: *
11  * Class PDEFoamDecisionTreeDensity is a class representing *
12  * n-dimensional real positive integrand function *
13  * The main function is Density() which provides the event density at a *
14  * given point during the foam build-up (sampling). *
15  * *
16  * Authors (alphabetical): *
17  * Tancredi Carli - CERN, Switzerland *
18  * Dominik Dannheim - CERN, Switzerland *
19  * S. Jadach - Institute of Nuclear Physics, Cracow, Poland *
20  * Alexander Voigt - TU Dresden, Germany *
21  * Peter Speckmayer - CERN, Switzerland *
22  * *
23  * Copyright (c) 2010: *
24  * CERN, Switzerland *
25  * MPI-K Heidelberg, Germany *
26  * *
27  * Redistribution and use in source and binary forms, with or without *
28  * modification, are permitted according to the terms listed in LICENSE *
29  * (http://tmva.sourceforge.net/LICENSE) *
30  **********************************************************************************/
31 
32 #ifndef ROOT_TMVA_PDEFoamDecisionTreeDensity
33 #define ROOT_TMVA_PDEFoamDecisionTreeDensity
34 
35 #include <vector>
36 
37 #ifndef ROOT_TH2
38 #include "TH2.h"
39 #endif
40 
41 #ifndef ROOT_TMVA_PDEFoamDensityBase
43 #endif
44 #ifndef ROOT_TMVA_Volume
45 #include "TMVA/Volume.h"
46 #endif
47 
48 namespace TMVA
49 {
50 
51  // class definition of underlying event density
53  {
54 
55  protected:
56  UInt_t fClass; // signal class
57 
58  public:
60  PDEFoamDecisionTreeDensity(std::vector<Double_t> box, UInt_t cls);
63 
64  // returns allways 0
65  virtual Double_t Density(std::vector<Double_t> &Xarg, Double_t &event_density);
66 
67  // fill histograms with events found in volume
68  virtual void FillHistograms(TMVA::Volume&, std::vector<TH1D*>&, std::vector<TH1D*>&, std::vector<TH1D*>&, std::vector<TH1D*>&);
69 
70  ClassDef(PDEFoamDecisionTreeDensity, 1) // Class for decision tree like PDEFoam density
71  }; //end of PDEFoamDecisionTreeDensity
72 
73 } // namespace TMVA
74 
75 #endif
virtual void FillHistograms(TMVA::Volume &, std::vector< TH1D * > &, std::vector< TH1D * > &, std::vector< TH1D * > &, std::vector< TH1D * > &)
Fill the given histograms with signal and background events, which are found in the volume...
void box(Int_t pat, Double_t x1, Double_t y1, Double_t x2, Double_t y2)
Definition: fillpatterns.C:1
#define ClassDef(name, id)
Definition: Rtypes.h:254
unsigned int UInt_t
Definition: RtypesCore.h:42
virtual Double_t Density(std::vector< Double_t > &Xarg, Double_t &event_density)
This function is not used in the decision tree like PDEFoam, instead FillHist() is used...
double Double_t
Definition: RtypesCore.h:55
Abstract ClassifierFactory template that handles arbitrary types.