TMVA::MethodLD

TMVA::MethodLD Class Reference

#include <MethodLD.h>

Inheritance diagram for TMVA::MethodLD:

TMVA::MethodBase TMVA::MethodBase TMVA::Configurable TMVA::IMethod TMVA::Configurable TMVA::IMethod TMVA::Configurable TMVA::IMethod TMVA::Configurable TMVA::IMethod List of all members.

Public Member Functions

 MethodLD (const TString &jobName, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="LD", TDirectory *theTargetDir=0)
 MethodLD (DataSetInfo &dsi, const TString &theWeightFile, TDirectory *theTargetDir=0)
virtual ~MethodLD (void)
Bool_t HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
void Train (void)
Double_t GetMvaValue (Double_t *err=0, Double_t *errUpper=0)
virtual const std::vector<
Float_t > & 		GetRegressionValues ()
void AddWeightsXMLTo (void *parent) const
void ReadWeightsFromStream (std::istream &i)
void ReadWeightsFromXML (void *wghtnode)
const Ranking * CreateRanking ()
void DeclareOptions ()
void ProcessOptions ()
 MethodLD (const TString &jobName, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="LD", TDirectory *theTargetDir=0)
 MethodLD (DataSetInfo &dsi, const TString &theWeightFile, TDirectory *theTargetDir=0)
virtual ~MethodLD (void)
Bool_t HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
void Train (void)
Double_t GetMvaValue (Double_t *err=0, Double_t *errUpper=0)
virtual const std::vector<
Float_t > & 		GetRegressionValues ()
void AddWeightsXMLTo (void *parent) const
void ReadWeightsFromStream (std::istream &i)
void ReadWeightsFromXML (void *wghtnode)
const Ranking * CreateRanking ()
void DeclareOptions ()
void ProcessOptions ()

Protected Member Functions

void MakeClassSpecific (std::ostream &, const TString &) const
void GetHelpMessage () const
void MakeClassSpecific (std::ostream &, const TString &) const
void GetHelpMessage () const

Private Member Functions

void Init (void)
void InitMatrices (void)
void GetSum (void)
void GetSumVal (void)
void GetLDCoeff (void)
void PrintCoefficients (void)
void Init (void)
void InitMatrices (void)
void GetSum (void)
void GetSumVal (void)
void GetLDCoeff (void)
void PrintCoefficients (void)

Private Attributes

Int_t fNRegOut
TMatrixD * fSumMatx
TMatrixD * fSumValMatx
TMatrixD * fCoeffMatx
std::vector< std::vector<
Double_t > * > * 		fLDCoeff
TMatrixD * fSumMatx
TMatrixD * fSumValMatx
TMatrixD * fCoeffMatx
std::vector< std::vector<
Double_t > * > * 		fLDCoeff

Detailed Description

Definition at line 53 of file MethodLD.h.

Constructor & Destructor Documentation

TMVA::MethodLD::MethodLD ( const TString &  jobName,
const TString &  methodTitle,
DataSetInfo &  dsi,
const TString &  theOption = "LD",
TDirectory *  theTargetDir = 0 
)

TMVA::MethodLD::MethodLD ( DataSetInfo &  dsi,
const TString &  theWeightFile,
TDirectory *  theTargetDir = 0 
)

Definition at line 65 of file MethodLD.cxx.

TMVA::MethodLD::~MethodLD ( void   )  [virtual]

Definition at line 92 of file MethodLD.cxx.

References fCoeffMatx, fLDCoeff, fSumMatx, and fSumValMatx.

TMVA::MethodLD::MethodLD ( const TString &  jobName,
const TString &  methodTitle,
DataSetInfo &  dsi,
const TString &  theOption = "LD",
TDirectory *  theTargetDir = 0 
)

TMVA::MethodLD::MethodLD ( DataSetInfo &  dsi,
const TString &  theWeightFile,
TDirectory *  theTargetDir = 0 
)

virtual TMVA::MethodLD::~MethodLD ( void   )  [virtual]

Member Function Documentation

Bool_t TMVA::MethodLD::HasAnalysisType ( Types::EAnalysisType  type,
UInt_t  numberClasses,
UInt_t  numberTargets 
) [virtual]

Implements TMVA::IMethod.

Definition at line 106 of file MethodLD.cxx.

References TMVA::Types::kClassification, kFALSE, TMVA::Types::kRegression, kTRUE, and TMVA::Configurable::Log().

void TMVA::MethodLD::Train ( void   )  [virtual]

Implements TMVA::MethodBase.

Definition at line 119 of file MethodLD.cxx.

References GetLDCoeff(), GetSum(), GetSumVal(), and PrintCoefficients().

Double_t TMVA::MethodLD::GetMvaValue ( Double_t *  err = 0,
Double_t *  errUpper = 0 
) [virtual]

Implements TMVA::MethodBase.

Definition at line 135 of file MethodLD.cxx.

References fLDCoeff, fNRegOut, TMVA::MethodBase::fRegressionReturnVal, TMVA::MethodBase::GetEvent(), TMVA::Event::GetValues(), TMVA::MethodBase::NoErrorCalc(), and NULL.

const std::vector< Float_t > & TMVA::MethodLD::GetRegressionValues (  )  [virtual]

Reimplemented from TMVA::MethodBase.

Definition at line 159 of file MethodLD.cxx.

References Event, fLDCoeff, fNRegOut, TMVA::MethodBase::fRegressionReturnVal, TMVA::MethodBase::GetEvent(), TMVA::Event::GetTarget(), TMVA::MethodBase::GetTransformationHandler(), TMVA::Event::GetValues(), TMVA::TransformationHandler::InverseTransform(), NULL, and TMVA::Event::SetTarget().

void TMVA::MethodLD::AddWeightsXMLTo ( void *  parent  )  const [virtual]

Implements TMVA::MethodBase.

Definition at line 315 of file MethodLD.cxx.

References TMVA::Tools::AddAttr(), TMVA::Tools::AddChild(), fLDCoeff, TMVA::MethodBase::GetNvar(), and TMVA::gTools().

void TMVA::MethodLD::ReadWeightsFromStream ( std::istream &  i  )  [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::ReadWeightsFromXML ( void *  wghtnode  )  [virtual]

Implements TMVA::MethodBase.

Definition at line 334 of file MethodLD.cxx.

References Endl, fLDCoeff, TMVA::Tools::GetChild(), TMVA::Tools::GetNextChild(), TMVA::MethodBase::GetNvar(), TMVA::gTools(), TMVA::kFATAL, TMVA::Configurable::Log(), and TMVA::Tools::ReadAttr().

const TMVA::Ranking * TMVA::MethodLD::CreateRanking (  )  [virtual]

Implements TMVA::MethodBase.

Definition at line 410 of file MethodLD.cxx.

References TMath::Abs(), TMVA::Ranking::AddRank(), fLDCoeff, TMVA::MethodBase::fRanking, TMVA::MethodBase::GetInputLabel(), TMVA::MethodBase::GetName(), and TMVA::MethodBase::GetNvar().

void TMVA::MethodLD::DeclareOptions (  )  [virtual]

Implements TMVA::MethodBase.

Definition at line 425 of file MethodLD.cxx.

References TMVA::Configurable::AddPreDefVal().

void TMVA::MethodLD::ProcessOptions (  )  [virtual]

Implements TMVA::MethodBase.

Definition at line 432 of file MethodLD.cxx.

References TMVA::MethodBase::HasTrainingTree(), and InitMatrices().

void TMVA::MethodLD::MakeClassSpecific ( std::ostream &  ,
const TString &   
) const [protected, virtual]

Reimplemented from TMVA::MethodBase.

Definition at line 369 of file MethodLD.cxx.

References TMVA::MethodBase::GetNvar().

void TMVA::MethodLD::GetHelpMessage (  )  const [protected, virtual]

Implements TMVA::IMethod.

Definition at line 486 of file MethodLD.cxx.

References TMVA::Tools::Color(), Endl, TMVA::gTools(), and TMVA::Configurable::Log().

void TMVA::MethodLD::Init ( void   )  [private, virtual]

Implements TMVA::MethodBase.

Definition at line 77 of file MethodLD.cxx.

References TMVA::MethodBase::DataInfo(), fLDCoeff, fNRegOut, TMVA::DataSetInfo::GetNTargets(), TMVA::MethodBase::GetNTargets(), TMVA::MethodBase::GetNvar(), and TMVA::MethodBase::SetSignalReferenceCut().

void TMVA::MethodLD::InitMatrices ( void   )  [private]

Definition at line 189 of file MethodLD.cxx.

References fCoeffMatx, fNRegOut, fSumMatx, fSumValMatx, and TMVA::MethodBase::GetNvar().

Referenced by ProcessOptions().

void TMVA::MethodLD::GetSum ( void   )  [private]

Definition at line 200 of file MethodLD.cxx.

References TMVA::MethodBase::Data(), TMVA::MethodBase::DataInfo(), fSumMatx, TMVA::MethodBase::GetEvent(), TMVA::DataSet::GetNEvents(), TMVA::DataSetInfo::GetNVariables(), TMVA::MethodBase::IgnoreEventsWithNegWeightsInTraining(), and Long64_t.

Referenced by Train().

void TMVA::MethodLD::GetSumVal ( void   )  [private]

Definition at line 234 of file MethodLD.cxx.

References TMVA::MethodBase::Data(), TMVA::MethodBase::DataInfo(), TMVA::MethodBase::DoRegression(), fNRegOut, fSumValMatx, TMVA::MethodBase::GetEvent(), TMVA::DataSet::GetNEvents(), TMVA::DataSetInfo::GetNVariables(), TMVA::MethodBase::IgnoreEventsWithNegWeightsInTraining(), and val.

Referenced by Train().

void TMVA::MethodLD::GetLDCoeff ( void   )  [private]

Definition at line 270 of file MethodLD.cxx.

References TMath::Abs(), TMVA::MethodBase::DataInfo(), TMVA::MethodBase::DoRegression(), E, Endl, fCoeffMatx, fLDCoeff, fNRegOut, fSumMatx, fSumValMatx, TMVA::DataSetInfo::GetNVariables(), TMVA::kFATAL, TMVA::kWARNING, and TMVA::Configurable::Log().

Referenced by Train().

void TMVA::MethodLD::PrintCoefficients ( void   )  [private]

Definition at line 439 of file MethodLD.cxx.

References TMath::Abs(), Endl, fLDCoeff, TMVA::Tools::FormattedOutput(), TMVA::MethodBase::GetInputLabel(), TMVA::MethodBase::GetNvar(), TMVA::MethodBase::GetTransformationHandler(), TMVA::MethodBase::GetXmax(), TMVA::MethodBase::GetXmin(), TMVA::gTools(), TMVA::MethodBase::IsNormalised(), TMVA::kINFO, TString::Length(), and TMVA::Configurable::Log().

Referenced by Train().

Bool_t TMVA::MethodLD::HasAnalysisType ( Types::EAnalysisType  type,
UInt_t  numberClasses,
UInt_t  numberTargets 
) [virtual]

Implements TMVA::IMethod.

void TMVA::MethodLD::Train ( void   )  [virtual]

Implements TMVA::MethodBase.

Double_t TMVA::MethodLD::GetMvaValue ( Double_t *  err = 0,
Double_t *  errUpper = 0 
) [virtual]

Implements TMVA::MethodBase.

virtual const std::vector<Float_t>& TMVA::MethodLD::GetRegressionValues (  )  [virtual]

Reimplemented from TMVA::MethodBase.

void TMVA::MethodLD::AddWeightsXMLTo ( void *  parent  )  const [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::ReadWeightsFromStream ( std::istream &  i  )  [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::ReadWeightsFromXML ( void *  wghtnode  )  [virtual]

Implements TMVA::MethodBase.

const Ranking* TMVA::MethodLD::CreateRanking (  )  [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::DeclareOptions (  )  [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::ProcessOptions (  )  [virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::MakeClassSpecific ( std::ostream &  ,
const TString &   
) const [protected, virtual]

Reimplemented from TMVA::MethodBase.

void TMVA::MethodLD::GetHelpMessage (  )  const [protected, virtual]

Implements TMVA::IMethod.

void TMVA::MethodLD::Init ( void   )  [private, virtual]

Implements TMVA::MethodBase.

void TMVA::MethodLD::InitMatrices ( void   )  [private]

void TMVA::MethodLD::GetSum ( void   )  [private]

void TMVA::MethodLD::GetSumVal ( void   )  [private]

void TMVA::MethodLD::GetLDCoeff ( void   )  [private]

void TMVA::MethodLD::PrintCoefficients ( void   )  [private]

Member Data Documentation

Int_t TMVA::MethodLD::fNRegOut [private]

Definition at line 101 of file MethodLD.h.

Referenced by GetLDCoeff(), GetMvaValue(), GetRegressionValues(), GetSumVal(), Init(), and InitMatrices().

TMatrixD* TMVA::MethodLD::fSumMatx [private]

Definition at line 103 of file MethodLD.h.

Referenced by GetLDCoeff(), GetSum(), InitMatrices(), and ~MethodLD().

TMatrixD* TMVA::MethodLD::fSumValMatx [private]

Definition at line 104 of file MethodLD.h.

Referenced by GetLDCoeff(), GetSumVal(), InitMatrices(), and ~MethodLD().

TMatrixD* TMVA::MethodLD::fCoeffMatx [private]

Definition at line 105 of file MethodLD.h.

Referenced by GetLDCoeff(), InitMatrices(), and ~MethodLD().

std::vector< std::vector<Double_t>* >* TMVA::MethodLD::fLDCoeff [private]

Definition at line 106 of file MethodLD.h.

Referenced by AddWeightsXMLTo(), CreateRanking(), GetLDCoeff(), GetMvaValue(), GetRegressionValues(), Init(), PrintCoefficients(), ReadWeightsFromXML(), and ~MethodLD().

TMatrixD* TMVA::MethodLD::fSumMatx [private]

Definition at line 103 of file MethodLD.h.

TMatrixD* TMVA::MethodLD::fSumValMatx [private]

Definition at line 104 of file MethodLD.h.

TMatrixD* TMVA::MethodLD::fCoeffMatx [private]

Definition at line 105 of file MethodLD.h.

std::vector< std::vector<Double_t>* >* TMVA::MethodLD::fLDCoeff [private]

Definition at line 106 of file MethodLD.h.

The documentation for this class was generated from the following files:
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