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")
	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 distributinos 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 searation 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

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 56 of file OptimizeConfigParameters.cxx.

TMVA::OptimizeConfigParameters::~OptimizeConfigParameters ( )

virtual

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

Definition at line 95 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 302 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 528 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 564 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 345 of file OptimizeConfigParameters.cxx.

MethodBase* TMVA::OptimizeConfigParameters::GetMethod ( )

inlineprivate

Definition at line 85 of file OptimizeConfigParameters.h.

void TMVA::OptimizeConfigParameters::GetMVADists ( )

private

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

Definition at line 374 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 440 of file OptimizeConfigParameters.cxx.