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ResultsRegression.h
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1// @(#)root/tmva $Id$
2// Author: Andreas Hoecker, Peter Speckmayer, Joerg Stelzer, Helge Voss
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : ResultsRegression *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: *
11 * Base-class for result-vectors *
12 * *
13 * Authors (alphabetical): *
14 * Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
15 * Peter Speckmayer <Peter.Speckmayer@cern.ch> - CERN, Switzerland *
16 * Joerg Stelzer <Joerg.Stelzer@cern.ch> - CERN, Switzerland *
17 * Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
18 * *
19 * Copyright (c) 2006: *
20 * CERN, Switzerland *
21 * U. of Victoria, Canada *
22 * MPI-K Heidelberg, Germany *
23 * *
24 * Redistribution and use in source and binary forms, with or without *
25 * modification, are permitted according to the terms listed in LICENSE *
26 * (http://tmva.sourceforge.net/LICENSE) *
27 **********************************************************************************/
28
29#ifndef ROOT_TMVA_ResultsRegression
30#define ROOT_TMVA_ResultsRegression
31
32//////////////////////////////////////////////////////////////////////////
33// //
34// ResultsRegression //
35// //
36// Class that is the base-class for a vector of result //
37// //
38//////////////////////////////////////////////////////////////////////////
39
40#include <vector>
41
42#include "TH1F.h"
43#include "TH2F.h"
44
45#include "TMVA/Results.h"
46#include "TMVA/Event.h"
47
48namespace TMVA {
49
50 class MsgLogger;
51
52 class ResultsRegression : public Results {
53
54 public:
55
56 ResultsRegression( const DataSetInfo* dsi, TString resultsName );
58
59 // setters
60 void SetValue( std::vector<Float_t>& value, Int_t ievt );
61 void Resize( Int_t entries ) { fRegValues.resize( entries ); }
62
63 using TObject::Clear;
64 virtual void Clear(Option_t *) { fRegValues.clear(); }
65
66 // getters
67 Long64_t GetSize() const { return fRegValues.size(); }
68 virtual const std::vector< Float_t >& operator [] ( Int_t ievt ) const { return fRegValues.at(ievt); }
69 std::vector<std::vector< Float_t> >* GetValueVector() { return &fRegValues; }
70
71 TH2F* DeviationAsAFunctionOf( UInt_t varNum, UInt_t tgtNum );
72 TH1F* QuadraticDeviation( UInt_t tgtNum, Bool_t truncate = false, Double_t truncvalue = 0. );
74
76
77
78 private:
79
80 mutable std::vector<std::vector< Float_t> > fRegValues; // mva values (Results)
81 mutable MsgLogger* fLogger; //! message logger
82 MsgLogger& Log() const { return *fLogger; }
83 protected:
84
86
87 };
88}
89
90#endif
int Int_t
Definition: RtypesCore.h:41
unsigned int UInt_t
Definition: RtypesCore.h:42
bool Bool_t
Definition: RtypesCore.h:59
double Double_t
Definition: RtypesCore.h:55
long long Long64_t
Definition: RtypesCore.h:69
const char Option_t
Definition: RtypesCore.h:62
#define ClassDef(name, id)
Definition: Rtypes.h:326
1-D histogram with a float per channel (see TH1 documentation)}
Definition: TH1.h:571
2-D histogram with a float per channel (see TH1 documentation)}
Definition: TH2.h:251
Class that contains all the data information.
Definition: DataSetInfo.h:60
ostringstream derivative to redirect and format output
Definition: MsgLogger.h:59
Class that is the base-class for a vector of result.
Long64_t GetSize() const
virtual const std::vector< Float_t > & operator[](Int_t ievt) const
std::vector< std::vector< Float_t > > fRegValues
std::vector< std::vector< Float_t > > * GetValueVector()
void SetValue(std::vector< Float_t > &value, Int_t ievt)
virtual void Clear(Option_t *)
Types::EAnalysisType GetAnalysisType()
TH2F * DeviationAsAFunctionOf(UInt_t varNum, UInt_t tgtNum)
TH1F * QuadraticDeviation(UInt_t tgtNum, Bool_t truncate=false, Double_t truncvalue=0.)
void Resize(Int_t entries)
MsgLogger & Log() const
message logger
void CreateDeviationHistograms(TString prefix)
ResultsRegression(const DataSetInfo *dsi, TString resultsName)
constructor
Class that is the base-class for a vector of result.
Definition: Results.h:57
EAnalysisType
Definition: Types.h:127
@ kRegression
Definition: Types.h:129
virtual void Clear(Option_t *="")
Definition: TObject.h:100
Basic string class.
Definition: TString.h:131
create variable transformations