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Reference Guide
VariableNormalizeTransform.h
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1// @(#)root/tmva $Id$
2// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss
3
4/**********************************************************************************
5 * Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
6 * Package: TMVA *
7 * Class : VariableNormalizeTransform *
8 * Web : http://tmva.sourceforge.net *
9 * *
10 * Description: *
11 * Decorrelation of input variables *
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) 2005: *
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_VariableNormalizeTransform
30#define ROOT_TMVA_VariableNormalizeTransform
31
32//////////////////////////////////////////////////////////////////////////
33// //
34// VariableNormalizeTransform //
35// //
36// Linear interpolation class //
37// //
38//////////////////////////////////////////////////////////////////////////
39
40#include "TMatrixDfwd.h"
41
43
44namespace TMVA {
45
47
48 public:
49
50 typedef std::vector<Float_t> FloatVector;
51 typedef std::vector< FloatVector > VectorOfFloatVectors;
53 virtual ~VariableNormalizeTransform( void );
54
55 void Initialize();
56 Bool_t PrepareTransformation (const std::vector<Event*>&);
57
58 virtual const Event* Transform(const Event* const, Int_t cls ) const;
59 virtual const Event* InverseTransform( const Event* const, Int_t cls ) const;
60
61 void WriteTransformationToStream ( std::ostream& ) const;
62 void ReadTransformationFromStream( std::istream&, const TString& );
63 void BuildTransformationFromVarInfo( const std::vector<TMVA::VariableInfo>& var );
64
65 virtual void AttachXMLTo(void* parent);
66 virtual void ReadFromXML( void* trfnode );
67
68 virtual void PrintTransformation( std::ostream & o );
69
70 // writer of function code
71 virtual void MakeFunction( std::ostream& fout, const TString& fncName, Int_t part, UInt_t trCounter, Int_t cls );
72
73 // provides string vector giving explicit transformation
74 std::vector<TString>* GetTransformationStrings( Int_t cls ) const;
75
76 private:
77
78 void CalcNormalizationParams( const std::vector< Event*>& events);
79
80 // mutable Event* fTransformedEvent;
81
82 VectorOfFloatVectors fMin; //! Min of source range
83 VectorOfFloatVectors fMax; //! Max of source range
84
85 ClassDef(VariableNormalizeTransform,0); // Variable transformation: normalization
86 };
87
88} // namespace TMVA
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
#define ClassDef(name, id)
Definition: Rtypes.h:324
Class that contains all the data information.
Definition: DataSetInfo.h:60
void CalcNormalizationParams(const std::vector< Event * > &events)
compute offset and scale from min and max
void Initialize()
initialization of the normalization transformation
virtual const Event * Transform(const Event *const, Int_t cls) const
apply the normalization transformation
Bool_t PrepareTransformation(const std::vector< Event * > &)
prepare transformation
virtual const Event * InverseTransform(const Event *const, Int_t cls) const
apply the inverse transformation
virtual void ReadFromXML(void *trfnode)
Read the transformation matrices from the xml node.
virtual void AttachXMLTo(void *parent)
create XML description of Normalize transformation
void WriteTransformationToStream(std::ostream &) const
write the transformation to the stream
void ReadTransformationFromStream(std::istream &, const TString &)
Read the variable ranges from an input stream.
virtual void MakeFunction(std::ostream &fout, const TString &fncName, Int_t part, UInt_t trCounter, Int_t cls)
creates a normalizing function TODO include target-transformation into makefunction
VariableNormalizeTransform(DataSetInfo &dsi)
constructor
std::vector< TString > * GetTransformationStrings(Int_t cls) const
creates string with variable transformations applied
VectorOfFloatVectors fMax
Min of source range.
virtual void PrintTransformation(std::ostream &o)
prints the transformation ranges
void BuildTransformationFromVarInfo(const std::vector< TMVA::VariableInfo > &var)
this method is only used when building a normalization transformation from old text files in this cas...
std::vector< FloatVector > VectorOfFloatVectors
Linear interpolation class.
Basic string class.
Definition: TString.h:131
Abstract ClassifierFactory template that handles arbitrary types.