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TMVA::IMethod Class Referenceabstract
TMVA

Interface for all concrete MVA method implementations.

Definition at line 54 of file IMethod.h.

Public Member Functions

 IMethod ()
 
virtual ~IMethod ()
 
virtual const Ranking * CreateRanking ()=0
 
virtual void DeclareOptions ()=0
 
virtual Double_t GetMvaValue (Double_t *err=0, Double_t *errUpper=0)=0
 
virtual const char * GetName () const =0
 
virtual Bool_t HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)=0
 
virtual void Init ()=0
 
virtual void MakeClass (const TString &classFileName=TString("")) const =0
 
virtual void PrintHelpMessage () const =0
 
virtual void ProcessOptions ()=0
 
virtual void ReadWeightsFromStream (std::istream &)=0
 
virtual void Train (void)=0
 
virtual void WriteMonitoringHistosToFile (void) const =0
 

Protected Member Functions

virtual void GetHelpMessage () const =0
 
virtual void MakeClassSpecific (std::ostream &, const TString &) const =0
 

#include <TMVA/IMethod.h>

Inheritance diagram for TMVA::IMethod:
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Constructor & Destructor Documentation

◆ IMethod()

TMVA::IMethod::IMethod ( )
inline

Definition at line 59 of file IMethod.h.

◆ ~IMethod()

virtual TMVA::IMethod::~IMethod ( )
inlinevirtual

Definition at line 62 of file IMethod.h.

Member Function Documentation

◆ CreateRanking()

virtual const Ranking * TMVA::IMethod::CreateRanking ( )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodBase, and TMVA::MethodCompositeBase.

◆ DeclareOptions()

virtual void TMVA::IMethod::DeclareOptions ( )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodBase, and TMVA::MethodCompositeBase.

◆ GetHelpMessage()

virtual void TMVA::IMethod::GetHelpMessage ( ) const
protectedpure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, and TMVA::MethodTMlpANN.

◆ GetMvaValue()

virtual Double_t TMVA::IMethod::GetMvaValue ( Double_t *  err = 0,
Double_t *  errUpper = 0 
)
pure virtual

Implemented in TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCompositeBase, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::MethodPyKeras, TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodBase, and TMVA::MethodCompositeBase.

◆ GetName()

virtual const char * TMVA::IMethod::GetName ( ) const
pure virtual

Implemented in TMVA::MethodBase.

◆ HasAnalysisType()

virtual Bool_t TMVA::IMethod::HasAnalysisType ( Types::EAnalysisType  type,
UInt_t  numberClasses,
UInt_t  numberTargets 
)
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodPyKeras, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, and TMVA::MethodRuleFit.

◆ Init()

virtual void TMVA::IMethod::Init ( )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodHMatrix, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, and TMVA::MethodTMlpANN.

◆ MakeClass()

virtual void TMVA::IMethod::MakeClass ( const TString &  classFileName = TString("")) const
pure virtual

Implemented in TMVA::MethodCategory, TMVA::MethodC50, TMVA::MethodRXGB, TMVA::MethodBase, and TMVA::MethodTMlpANN.

◆ MakeClassSpecific()

virtual void TMVA::IMethod::MakeClassSpecific ( std::ostream &  ,
const TString &   
) const
protectedpure virtual

Implemented in TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDNN, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, and TMVA::MethodBase.

◆ PrintHelpMessage()

virtual void TMVA::IMethod::PrintHelpMessage ( ) const
pure virtual

Implemented in TMVA::MethodBase.

◆ ProcessOptions()

virtual void TMVA::IMethod::ProcessOptions ( )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodBase, and TMVA::MethodCompositeBase.

◆ ReadWeightsFromStream()

virtual void TMVA::IMethod::ReadWeightsFromStream ( std::istream &  )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodDL, TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyRandomForest, TMVA::PyMethodBase, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::RMethodBase, TMVA::MethodANNBase, TMVA::MethodBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodCFMlpANN, TMVA::MethodCompositeBase, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodPDEFoam, TMVA::MethodRuleFit, TMVA::MethodSVM, TMVA::MethodTMlpANN, TMVA::MethodCuts, TMVA::MethodDNN, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodLD, TMVA::MethodPDEFoam, TMVA::MethodANNBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodCFMlpANN, TMVA::MethodCompositeBase, TMVA::MethodCrossValidation, TMVA::MethodDT, TMVA::MethodHMatrix, TMVA::MethodKNN, TMVA::MethodLikelihood, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, and TMVA::MethodTMlpANN.

◆ Train()

virtual void TMVA::IMethod::Train ( void  )
pure virtual

Implemented in TMVA::MethodPyAdaBoost, TMVA::MethodPyGTB, TMVA::MethodPyKeras, TMVA::MethodPyRandomForest, TMVA::MethodC50, TMVA::MethodRSNNS, TMVA::MethodRSVM, TMVA::MethodRXGB, TMVA::MethodDL, TMVA::MethodDNN, TMVA::MethodHMatrix, TMVA::MethodLikelihood, TMVA::MethodMLP, TMVA::PyMethodBase, TMVA::RMethodBase, TMVA::MethodANNBase, TMVA::MethodBase, TMVA::MethodCompositeBase, TMVA::MethodBayesClassifier, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCategory, TMVA::MethodCFMlpANN, TMVA::MethodCrossValidation, TMVA::MethodCuts, TMVA::MethodDT, TMVA::MethodFDA, TMVA::MethodFisher, TMVA::MethodKNN, TMVA::MethodLD, TMVA::MethodPDEFoam, TMVA::MethodPDERS, TMVA::MethodRuleFit, TMVA::MethodSVM, and TMVA::MethodTMlpANN.

◆ WriteMonitoringHistosToFile()

virtual void TMVA::IMethod::WriteMonitoringHistosToFile ( void  ) const
pure virtual

Implemented in TMVA::MethodANNBase, TMVA::MethodBase, TMVA::MethodLikelihood, TMVA::MethodBDT, TMVA::MethodBoost, TMVA::MethodCrossValidation, TMVA::MethodCuts, and TMVA::MethodRuleFit.

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