Definition at line 63 of file OptimizeConfigParameters.h.

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

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 ()

virtual	~IFitterTarget ()

virtual void	ProgressNotifier (TString, TString)

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

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

void	optimizeFit ()

Double_t	EstimatorFunction (std::vector< Double_t > &)
	return the estimator (from current FOM) for the fitting interface 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 distributinos for sig/bkg More...

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

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

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

MsgLogger &	Log () const

Private Attributes
MethodBase *const	fMethod

std::vector< Float_t >	fFOMvsIter

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

std::map< TString, Double_t >	fTunedParameters

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

TString	fFOMType

TString	fOptimizationFitType

TH1D *	fMvaSig

TH1D *	fMvaBkg

TH1D *	fMvaSigFineBin

TH1D *	fMvaBkgFineBin

Bool_t	fNotDoneYet

MsgLogger *	fLogger

#include <TMVA/OptimizeConfigParameters.h>

Inheritance diagram for TMVA::OptimizeConfigParameters:

Collaboration diagram for TMVA::OptimizeConfigParameters:

Constructor & Destructor Documentation

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

TMVA::OptimizeConfigParameters::~OptimizeConfigParameters ( )

virtual

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

Definition at line 86 of file OptimizeConfigParameters.cxx.

Member Function Documentation

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 290 of file OptimizeConfigParameters.cxx.

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

private

calculate the background efficiency for a given signal efficiency

Definition at line 516 of file OptimizeConfigParameters.cxx.

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

private

calculate the background rejection for a given signal efficiency

Definition at line 552 of file OptimizeConfigParameters.cxx.

Double_t TMVA::OptimizeConfigParameters::GetFOM ( )

private

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

Definition at line 333 of file OptimizeConfigParameters.cxx.

MethodBase* TMVA::OptimizeConfigParameters::GetMethod ( )

inlineprivate

Definition at line 85 of file OptimizeConfigParameters.h.

Referenced by ~OptimizeConfigParameters().

void TMVA::OptimizeConfigParameters::GetMVADists ( )

private

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

Definition at line 362 of file OptimizeConfigParameters.cxx.

Double_t TMVA::OptimizeConfigParameters::GetROCIntegral ( )

private

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

makeing pdfs out of the MVA-ouput distributions doesn't work reliably for cases where the MVA-ouput 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 ouput values. (I still leave the code here, but use this with care!!! The default however is to use the distributions!!!

Definition at line 428 of file OptimizeConfigParameters.cxx.