Definition at line 47 of file OptimizeConfigParameters.h.

Public Member Functions
	OptimizeConfigParameters (MethodBase const method, std::map< TString, TMVA::Interval > tuneParameters, TString fomType="Separation", TString optimizationType="GA")
	Constructor which sets either "Classification or Regression". More...

virtual	~OptimizeConfigParameters ()
	the destructor (delete the OptimizeConfigParameters, store the graph and .. delete it) More...

std::map< TString, Double_t >	optimize ()

Public Member Functions inherited from TMVA::IFitterTarget
	IFitterTarget ()
	constructor More...

virtual	~IFitterTarget ()

virtual void	ProgressNotifier (TString, TString)

Private Member Functions
Double_t	EstimatorFunction (std::vector< Double_t > &)
	return the estimator (from current FOM) for the fitting interface More...

Double_t	GetBkgEffAtSigEff (Double_t sigEff=0.5)
	calculate the background efficiency for a given signal efficiency More...

Double_t	GetBkgRejAtSigEff (Double_t sigEff=0.5)
	calculate the background rejection for a given signal efficiency More...

Double_t	GetFOM ()
	Return the Figure of Merit (FOM) used in the parameter optimization process. More...

MethodBase *	GetMethod ()

void	GetMVADists ()
	fill the private histograms with the mva distributions for sig/bkg More...

Double_t	GetROCIntegral ()
	calculate the area (integral) under the ROC curve as a overall quality measure of the classification More...

std::vector< int >	GetScanIndices (int val, std::vector< int > base)
	helper function to scan through the all the combinations in the parameter space More...

Double_t	GetSeparation ()
	return the separation between the signal and background MVA ouput distribution More...

Double_t	GetSigEffAtBkgEff (Double_t bkgEff=0.1)
	calculate the signal efficiency for a given background efficiency More...

MsgLogger &	Log () const

void	optimizeFit ()

void	optimizeScan ()
	do the actual optimization using a simple scan method, i.e. More...

Private Attributes
std::map< std::vector< Double_t >, Double_t >	fAlreadyTrainedParCombination

TString	fFOMType

std::vector< Float_t >	fFOMvsIter

MsgLogger *	fLogger

MethodBase *const	fMethod

TH1D *	fMvaBkg

TH1D *	fMvaBkgFineBin

TH1D *	fMvaSig

TH1D *	fMvaSigFineBin

Bool_t	fNotDoneYet

TString	fOptimizationFitType

std::map< TString, Double_t >	fTunedParameters

std::map< TString, TMVA::Interval * >	fTuneParameters

#include <TMVA/OptimizeConfigParameters.h>

Inheritance diagram for TMVA::OptimizeConfigParameters:

[legend]

Constructor & Destructor Documentation

◆ OptimizeConfigParameters()

TMVA::OptimizeConfigParameters::OptimizeConfigParameters	(	MethodBase *const	method,
		std::map< TString, TMVA::Interval *>	tuneParameters,
		TString	fomType = `"Separation"`,
		TString	optimizationType = `"GA"`
	)

Constructor which sets either "Classification or Regression".

Definition at line 61 of file OptimizeConfigParameters.cxx.

◆ ~OptimizeConfigParameters()

TMVA::OptimizeConfigParameters::~OptimizeConfigParameters ( )

virtual

the destructor (delete the OptimizeConfigParameters, store the graph and .. delete it)

Definition at line 97 of file OptimizeConfigParameters.cxx.

Member Function Documentation

◆ EstimatorFunction()

Double_t TMVA::OptimizeConfigParameters::EstimatorFunction ( std::vector< Double_t > & pars )

privatevirtual

return the estimator (from current FOM) for the fitting interface

Implements TMVA::IFitterTarget.

Definition at line 306 of file OptimizeConfigParameters.cxx.

◆ GetBkgEffAtSigEff()

Double_t TMVA::OptimizeConfigParameters::GetBkgEffAtSigEff ( Double_t sigEff = 0.5 )

private

calculate the background efficiency for a given signal efficiency

adapted by marc-.nosp@m.oliv.nosp@m.ier.b.nosp@m.ettl.nosp@m.er@ce.nosp@m.rn.c.nosp@m.h

Definition at line 531 of file OptimizeConfigParameters.cxx.

◆ GetBkgRejAtSigEff()

Double_t TMVA::OptimizeConfigParameters::GetBkgRejAtSigEff ( Double_t sigEff = 0.5 )

private

calculate the background rejection for a given signal efficiency

adapted by marc-.nosp@m.oliv.nosp@m.ier.b.nosp@m.ettl.nosp@m.er@ce.nosp@m.rn.c.nosp@m.h

Definition at line 568 of file OptimizeConfigParameters.cxx.

◆ GetFOM()

Double_t TMVA::OptimizeConfigParameters::GetFOM ( )

private

Return the Figure of Merit (FOM) used in the parameter optimization process.

Definition at line 349 of file OptimizeConfigParameters.cxx.

◆ GetMethod()

MethodBase* TMVA::OptimizeConfigParameters::GetMethod ( )

inlineprivate

Definition at line 69 of file OptimizeConfigParameters.h.

◆ GetMVADists()

void TMVA::OptimizeConfigParameters::GetMVADists ( )

private

fill the private histograms with the mva distributions for sig/bkg

Definition at line 378 of file OptimizeConfigParameters.cxx.

◆ GetROCIntegral()

Double_t TMVA::OptimizeConfigParameters::GetROCIntegral ( )

private

calculate the area (integral) under the ROC curve as a overall quality measure of the classification

making pdfs out of the MVA-output distributions doesn't work reliably for cases where the MVA-output isn't a smooth distribution. this happens "frequently" in BDTs for example when the number of trees is small resulting in only some discrete possible MVA output values. (I still leave the code here, but use this with care!!! The default however is to use the distributions!!!

Definition at line 443 of file OptimizeConfigParameters.cxx.

◆ GetScanIndices()

std::vector< int > TMVA::OptimizeConfigParameters::GetScanIndices	(	int	val,
		std::vector< int >	base
	)

private

helper function to scan through the all the combinations in the parameter space

Definition at line 150 of file OptimizeConfigParameters.cxx.

◆ GetSeparation()

Double_t TMVA::OptimizeConfigParameters::GetSeparation ( )

private

return the separation between the signal and background MVA ouput distribution

Definition at line 419 of file OptimizeConfigParameters.cxx.

◆ GetSigEffAtBkgEff()

Double_t TMVA::OptimizeConfigParameters::GetSigEffAtBkgEff ( Double_t bkgEff = 0.1 )

private

calculate the signal efficiency for a given background efficiency

Definition at line 494 of file OptimizeConfigParameters.cxx.

◆ Log()

MsgLogger& TMVA::OptimizeConfigParameters::Log ( ) const

inlineprivate

Definition at line 95 of file OptimizeConfigParameters.h.

◆ optimize()

std::map< TString, Double_t > TMVA::OptimizeConfigParameters::optimize ( )

Definition at line 128 of file OptimizeConfigParameters.cxx.

◆ optimizeFit()

void TMVA::OptimizeConfigParameters::optimizeFit ( )

private

Definition at line 243 of file OptimizeConfigParameters.cxx.

◆ optimizeScan()

void TMVA::OptimizeConfigParameters::optimizeScan ( )

private

do the actual optimization using a simple scan method, i.e.

calculate the FOM for different tuning paraemters and remember which one is gave the best FOM

Definition at line 165 of file OptimizeConfigParameters.cxx.

Member Data Documentation

◆ fAlreadyTrainedParCombination

std::map< std::vector<Double_t> , Double_t> TMVA::OptimizeConfigParameters::fAlreadyTrainedParCombination

private

Definition at line 83 of file OptimizeConfigParameters.h.

◆ fFOMType

TString TMVA::OptimizeConfigParameters::fFOMType

private

Definition at line 84 of file OptimizeConfigParameters.h.

◆ fFOMvsIter

std::vector<Float_t> TMVA::OptimizeConfigParameters::fFOMvsIter

private

Definition at line 80 of file OptimizeConfigParameters.h.

◆ fLogger

MsgLogger* TMVA::OptimizeConfigParameters::fLogger

mutableprivate

Definition at line 94 of file OptimizeConfigParameters.h.

◆ fMethod

MethodBase* const TMVA::OptimizeConfigParameters::fMethod

private

Definition at line 79 of file OptimizeConfigParameters.h.

◆ fMvaBkg

TH1D* TMVA::OptimizeConfigParameters::fMvaBkg

private

Definition at line 87 of file OptimizeConfigParameters.h.

◆ fMvaBkgFineBin

TH1D* TMVA::OptimizeConfigParameters::fMvaBkgFineBin

private

Definition at line 90 of file OptimizeConfigParameters.h.

◆ fMvaSig

TH1D* TMVA::OptimizeConfigParameters::fMvaSig

private

Definition at line 86 of file OptimizeConfigParameters.h.

◆ fMvaSigFineBin

TH1D* TMVA::OptimizeConfigParameters::fMvaSigFineBin

private

Definition at line 89 of file OptimizeConfigParameters.h.

◆ fNotDoneYet

Bool_t TMVA::OptimizeConfigParameters::fNotDoneYet

private

Definition at line 92 of file OptimizeConfigParameters.h.

◆ fOptimizationFitType

TString TMVA::OptimizeConfigParameters::fOptimizationFitType

private

Definition at line 85 of file OptimizeConfigParameters.h.

◆ fTunedParameters

std::map<TString,Double_t> TMVA::OptimizeConfigParameters::fTunedParameters

private

Definition at line 82 of file OptimizeConfigParameters.h.

◆ fTuneParameters

std::map<TString,TMVA::Interval*> TMVA::OptimizeConfigParameters::fTuneParameters

private

Definition at line 81 of file OptimizeConfigParameters.h.

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

tmva/tmva/inc/TMVA/OptimizeConfigParameters.h
tmva/tmva/src/OptimizeConfigParameters.cxx

Public Member Functions

Private Member Functions

Private Attributes

Constructor & Destructor Documentation

◆ OptimizeConfigParameters()

◆ ~OptimizeConfigParameters()

Member Function Documentation

◆ EstimatorFunction()

◆ GetBkgEffAtSigEff()

◆ GetBkgRejAtSigEff()

◆ GetFOM()

◆ GetMethod()

◆ GetMVADists()

◆ GetROCIntegral()

◆ GetScanIndices()

◆ GetSeparation()

◆ GetSigEffAtBkgEff()

◆ Log()

◆ optimize()

◆ optimizeFit()

◆ optimizeScan()

Member Data Documentation

◆ fAlreadyTrainedParCombination

◆ fFOMType

◆ fFOMvsIter

◆ fLogger

◆ fMethod

◆ fMvaBkg

◆ fMvaBkgFineBin

◆ fMvaSig

◆ fMvaSigFineBin

◆ fNotDoneYet

◆ fOptimizationFitType

◆ fTunedParameters

◆ fTuneParameters