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tmva
tmva
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TMVA
VariableNormalizeTransform.h
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// @(#)root/tmva $Id$
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// Author: Andreas Hoecker, Joerg Stelzer, Helge Voss
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/**********************************************************************************
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* Project: TMVA - a Root-integrated toolkit for multivariate data analysis *
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* Package: TMVA *
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* Class : VariableNormalizeTransform *
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* Web : http://tmva.sourceforge.net *
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* *
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* Description: *
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* Decorrelation of input variables *
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* *
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* Authors (alphabetical): *
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* Andreas Hoecker <Andreas.Hocker@cern.ch> - CERN, Switzerland *
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* Peter Speckmayer <Peter.Speckmayer@cern.ch> - CERN, Switzerland *
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* Joerg Stelzer <Joerg.Stelzer@cern.ch> - CERN, Switzerland *
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* Helge Voss <Helge.Voss@cern.ch> - MPI-K Heidelberg, Germany *
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* *
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* Copyright (c) 2005: *
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* CERN, Switzerland *
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* U. of Victoria, Canada *
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* MPI-K Heidelberg, Germany *
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* *
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* Redistribution and use in source and binary forms, with or without *
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* modification, are permitted according to the terms listed in LICENSE *
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* (http://tmva.sourceforge.net/LICENSE) *
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**********************************************************************************/
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#ifndef ROOT_TMVA_VariableNormalizeTransform
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#define ROOT_TMVA_VariableNormalizeTransform
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//////////////////////////////////////////////////////////////////////////
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// //
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// VariableNormalizeTransform //
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// //
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// Linear interpolation class //
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// //
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//////////////////////////////////////////////////////////////////////////
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#include "
TMatrixDfwd.h
"
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#include "
TMVA/VariableTransformBase.h
"
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namespace
TMVA
{
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class
VariableNormalizeTransform
:
public
VariableTransformBase
{
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public
:
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typedef
std::vector<Float_t>
FloatVector
;
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typedef
std::vector< FloatVector >
VectorOfFloatVectors
;
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VariableNormalizeTransform
(
DataSetInfo
& dsi );
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virtual
~VariableNormalizeTransform
(
void
);
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void
Initialize
();
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Bool_t
PrepareTransformation
(
const
std::vector<Event*>&);
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virtual
const
Event
*
Transform
(
const
Event
*
const
,
Int_t
cls )
const
;
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virtual
const
Event
*
InverseTransform
(
const
Event
*
const
,
Int_t
cls )
const
;
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void
WriteTransformationToStream
( std::ostream& )
const
;
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void
ReadTransformationFromStream
( std::istream&,
const
TString
& );
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void
BuildTransformationFromVarInfo
(
const
std::vector<TMVA::VariableInfo>& var );
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virtual
void
AttachXMLTo
(
void
* parent);
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virtual
void
ReadFromXML
(
void
* trfnode );
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virtual
void
PrintTransformation
( std::ostream & o );
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// writer of function code
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virtual
void
MakeFunction
( std::ostream& fout,
const
TString
& fncName,
Int_t
part,
UInt_t
trCounter,
Int_t
cls );
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// provides string vector giving explicit transformation
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std::vector<TString>*
GetTransformationStrings
(
Int_t
cls )
const
;
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private
:
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void
CalcNormalizationParams
(
const
std::vector< Event*>& events);
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// mutable Event* fTransformedEvent;
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VectorOfFloatVectors
fMin
;
//! Min of source range
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VectorOfFloatVectors
fMax
;
//! Max of source range
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ClassDef
(
VariableNormalizeTransform
,0);
// Variable transformation: normalization
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};
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}
// namespace TMVA
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#endif
TMVA::VariableNormalizeTransform::VectorOfFloatVectors
std::vector< FloatVector > VectorOfFloatVectors
Definition:
VariableNormalizeTransform.h:51
TMVA::VariableNormalizeTransform::MakeFunction
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 ...
Definition:
VariableNormalizeTransform.cxx:562
TMVA::VariableNormalizeTransform::Transform
virtual const Event * Transform(const Event *const, Int_t cls) const
apply the normalization transformation
Definition:
VariableNormalizeTransform.cxx:109
TMVA::VariableNormalizeTransform::GetTransformationStrings
std::vector< TString > * GetTransformationStrings(Int_t cls) const
creates string with variable transformations applied
Definition:
VariableNormalizeTransform.cxx:270
TMVA::VariableNormalizeTransform::VariableNormalizeTransform
VariableNormalizeTransform(DataSetInfo &dsi)
constructor
Definition:
VariableNormalizeTransform.cxx:59
TString
Basic string class.
Definition:
TString.h:131
Int_t
int Int_t
Definition:
RtypesCore.h:41
Bool_t
bool Bool_t
Definition:
RtypesCore.h:59
TMVA::VariableNormalizeTransform::CalcNormalizationParams
void CalcNormalizationParams(const std::vector< Event *> &events)
compute offset and scale from min and max
Definition:
VariableNormalizeTransform.cxx:210
TMVA::VariableNormalizeTransform
Linear interpolation class.
Definition:
VariableNormalizeTransform.h:46
ClassDef
#define ClassDef(name, id)
Definition:
Rtypes.h:320
TMVA::DataSetInfo
Class that contains all the data information.
Definition:
DataSetInfo.h:60
TMVA::VariableNormalizeTransform::PrintTransformation
virtual void PrintTransformation(std::ostream &o)
prints the transformation ranges
Definition:
VariableNormalizeTransform.cxx:535
TMVA::VariableNormalizeTransform::fMin
VectorOfFloatVectors fMin
Definition:
VariableNormalizeTransform.h:82
TMVA::VariableNormalizeTransform::PrepareTransformation
Bool_t PrepareTransformation(const std::vector< Event *> &)
prepare transformation
Definition:
VariableNormalizeTransform.cxx:91
TMVA::VariableNormalizeTransform::~VariableNormalizeTransform
virtual ~VariableNormalizeTransform(void)
Definition:
VariableNormalizeTransform.cxx:66
TMVA::VariableTransformBase
Linear interpolation class.
Definition:
VariableTransformBase.h:53
TMVA::VariableNormalizeTransform::AttachXMLTo
virtual void AttachXMLTo(void *parent)
create XML description of Normalize transformation
Definition:
VariableNormalizeTransform.cxx:330
TMVA::Event
Definition:
Event.h:52
UInt_t
unsigned int UInt_t
Definition:
RtypesCore.h:42
TMVA::VariableNormalizeTransform::Initialize
void Initialize()
initialization of the normalization transformation
Definition:
VariableNormalizeTransform.cxx:72
TMVA::VariableNormalizeTransform::BuildTransformationFromVarInfo
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...
Definition:
VariableNormalizeTransform.cxx:463
TMVA::VariableNormalizeTransform::fMax
VectorOfFloatVectors fMax
Min of source range.
Definition:
VariableNormalizeTransform.h:83
TMVA::VariableNormalizeTransform::FloatVector
std::vector< Float_t > FloatVector
Definition:
VariableNormalizeTransform.h:50
TMVA::VariableNormalizeTransform::ReadFromXML
virtual void ReadFromXML(void *trfnode)
Read the transformation matrices from the xml node.
Definition:
VariableNormalizeTransform.cxx:356
TMVA
Abstract ClassifierFactory template that handles arbitrary types.
Definition:
GeneticMinimizer.h:21
VariableTransformBase.h
TMVA::VariableNormalizeTransform::WriteTransformationToStream
void WriteTransformationToStream(std::ostream &) const
write the transformation to the stream
Definition:
VariableNormalizeTransform.cxx:305
TMVA::VariableNormalizeTransform::InverseTransform
virtual const Event * InverseTransform(const Event *const, Int_t cls) const
apply the inverse transformation
Definition:
VariableNormalizeTransform.cxx:165
TMatrixDfwd.h
TMVA::VariableNormalizeTransform::ReadTransformationFromStream
void ReadTransformationFromStream(std::istream &, const TString &)
Read the variable ranges from an input stream.
Definition:
VariableNormalizeTransform.cxx:492