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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#include "TH2.h"
38
40#include "TMVA/Volume.h"
41
42namespace TMVA
43{
44
45 // class definition of underlying event density
47 {
48
49 protected:
50 UInt_t fClass; // signal class
51
52 public:
54 PDEFoamDecisionTreeDensity(std::vector<Double_t> box, UInt_t cls);
57
58 // returns always 0
59 virtual Double_t Density(std::vector<Double_t> &Xarg, Double_t &event_density);
60
61 // fill histograms with events found in volume
62 virtual void FillHistograms(TMVA::Volume&, std::vector<TH1D*>&, std::vector<TH1D*>&, std::vector<TH1D*>&, std::vector<TH1D*>&);
63
64 ClassDef(PDEFoamDecisionTreeDensity, 1) // Class for decision tree like PDEFoam density
65 }; //end of PDEFoamDecisionTreeDensity
66
67} // namespace TMVA
68
69#endif
double Double_t
Definition RtypesCore.h:59
#define ClassDef(name, id)
Definition Rtypes.h:325
This is a concrete implementation of PDEFoam.
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.
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.
This is an abstract class, which provides an interface for a PDEFoam density estimator.
Volume for BinarySearchTree.
Definition Volume.h:47
void box(Int_t pat, Double_t x1, Double_t y1, Double_t x2, Double_t y2)
Definition fillpatterns.C:1
create variable transformations