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MethodCompositeBase.h
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1// @(#)root/tmva $Id$
2// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss, Kai Voss,Or Cohen
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : MethodCompositeBase *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: *
11 * Virtual base class for all MVA method *
12 * *
13 * Authors (alphabetical): *
14 * Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
15 * Joerg Stelzer <Joerg.Stelzer@cern.ch> - CERN, Switzerland *
16 * Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
17 * Kai Voss <Kai.Voss@cern.ch> - U. of Victoria, Canada *
18 * Or Cohen <orcohenor@gmail.com> - Weizmann Inst., Israel *
19 * *
20 * Copyright (c) 2005: *
21 * CERN, Switzerland *
22 * U. of Victoria, Canada *
23 * MPI-K Heidelberg, Germany *
24 * LAPP, Annecy, France *
25 * *
26 * Redistribution and use in source and binary forms, with or without *
27 * modification, are permitted according to the terms listed in LICENSE *
28 * (http://tmva.sourceforge.net/LICENSE) *
29 **********************************************************************************/
30
31#ifndef ROOT_TMVA_MethodCompositeBase
32#define ROOT_TMVA_MethodCompositeBase
33
34//////////////////////////////////////////////////////////////////////////
35// //
36// MethodCompositeBase //
37// //
38// Virtual base class for combining several TMVA method //
39// //
40//////////////////////////////////////////////////////////////////////////
41
42#include <iosfwd>
43#include <vector>
44
45#include "TMVA/MethodBase.h"
46
47namespace TMVA {
48 class IMethod;
49
51
52 public :
53 MethodCompositeBase( const TString& jobName,
54 Types::EMVA methodType,
55 const TString& methodTitle,
56 DataSetInfo& theData,
57 const TString& theOption = "" );
58
59
61 DataSetInfo& dsi,
62 const TString& weightFile );
63
65
66 // write weights to file
67 void AddWeightsXMLTo( void* parent ) const;
68 void ReadWeightsFromXML( void* wghtnode );
69
70 // calculate the MVA value combining all classifiers according to their fMethodWeight
71 Double_t GetMvaValue( Double_t* err = nullptr, Double_t* errUpper = nullptr );
72
74
75 // read weights from file
76 void ReadWeightsFromStream( std::istream& istr );
77
78 // performs classifier training
79 virtual void Train() = 0;
80
81 // create ranking
82 virtual const Ranking* CreateRanking() = 0;
83
84 virtual ~MethodCompositeBase( void );
85
86 protected:
87
88 void DeclareOptions() = 0;
89 void ProcessOptions() = 0;
90
91 IMethod* GetMethod( const TString& title ) const; ///< accessor by name
92
93 IMethod* GetMethod( const Int_t index ) const; ///< accessor by index in vector
94
95 //the index of the classifier currently boosted
99
100 IMethod* GetLastMethod() { return fMethods.back(); }
101
103
105 MethodBase* GetCurrentMethod(UInt_t idx){return dynamic_cast<MethodBase*>(fMethods.at(idx)); }
106
107
108
109 std::vector<IMethod*> fMethods; ///< vector of all classifiers
110
111 //the weight of every classifier used in the GetMVA method
112 std::vector<Double_t> fMethodWeight;
113
115
116 };
117}
118
119#endif
120
#define ClassDef(name, id)
Definition Rtypes.h:337
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void char Point_t Rectangle_t WindowAttributes_t index
Class that contains all the data information.
Definition DataSetInfo.h:62
Interface for all concrete MVA method implementations.
Definition IMethod.h:53
Virtual base Class for all MVA method.
Definition MethodBase.h:111
virtual Double_t GetMvaValue(Double_t *errLower=nullptr, Double_t *errUpper=nullptr)=0
virtual void ReadWeightsFromStream(std::istream &)=0
friend class MethodCompositeBase
Definition MethodBase.h:270
Virtual base class for combining several TMVA method.
void ReadWeightsFromStream(std::istream &istr)
text streamer
std::vector< Double_t > fMethodWeight
virtual ~MethodCompositeBase(void)
delete methods
std::vector< IMethod * > fMethods
vector of all classifiers
Double_t GetMvaValue(Double_t *err=nullptr, Double_t *errUpper=nullptr)
return composite MVA response
IMethod * GetMethod(const TString &title) const
accessor by name
MethodBase * GetCurrentMethod(UInt_t idx)
virtual const Ranking * CreateRanking()=0
virtual void Train()=0
void ReadWeightsFromXML(void *wghtnode)
XML streamer.
void AddWeightsXMLTo(void *parent) const
Ranking for variables in method (implementation)
Definition Ranking.h:48
Basic string class.
Definition TString.h:139
create variable transformations