Definition at line 49 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".

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

TClass *	IsA () const override

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

void	Streamer (TBuffer &) override

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

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

virtual	~IFitterTarget ()

virtual void	ProgressNotifier (TString, TString)

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Static Public Member Functions
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Static Public Member Functions inherited from TMVA::IFitterTarget
static TClass *	Class ()

static const char *	Class_Name ()

static constexpr Version_t	Class_Version ()

static const char *	DeclFileName ()

Public Attributes
friend	TestOptimizeConfigParameters

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

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

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

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

MethodBase *	GetMethod ()

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

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

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

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

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

MsgLogger &	Log () const

void	optimizeFit ()

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

Private Attributes
std::map< std::vector< Double_t >, Double_t >	fAlreadyTrainedParCombination
	save parameters for which the FOM is already known (GA seems to evaluate the same parameters several times)

TString	fFOMType
	the FOM type (Separation, ROC integra.. whatever you implemented..

std::vector< Float_t >	fFOMvsIter
	graph showing the development of the Figure Of Merit values during the fit

MsgLogger *	fLogger
	! message logger

MethodBase *const	fMethod
	The MVA method to be evaluated.

TH1D *	fMvaBkg
	MVA distribution for bakgr. events, used for spline fit.

TH1D *	fMvaBkgFineBin
	MVA distribution for bakgr. events.

TH1D *	fMvaSig
	MVA distribution for signal events, used for spline fit.

TH1D *	fMvaSigFineBin
	MVA distribution for signal events.

Bool_t	fNotDoneYet
	flat to indicate of Method Transformations have been obtained yet or not (normally done in MethodBase::TrainMethod)

TString	fOptimizationFitType
	which type of optimisation procedure to be used

std::map< TString, Double_t >	fTunedParameters
	parameters included in the tuning

std::map< TString, TMVA::Interval * >	fTuneParameters
	parameters included in the tuning

#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 59 of file OptimizeConfigParameters.cxx.

◆ ~OptimizeConfigParameters()

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

◆ Class()

static TClass * TMVA::OptimizeConfigParameters::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * TMVA::OptimizeConfigParameters::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t TMVA::OptimizeConfigParameters::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 100 of file OptimizeConfigParameters.h.

◆ DeclFileName()

static const char * TMVA::OptimizeConfigParameters::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 100 of file OptimizeConfigParameters.h.

◆ EstimatorFunction()

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

overrideprivatevirtual

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 545 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 582 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 72 of file OptimizeConfigParameters.h.

◆ GetMVADists()

void TMVA::OptimizeConfigParameters::GetMVADists ( )

private

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

Definition at line 392 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 457 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 148 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 433 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 508 of file OptimizeConfigParameters.cxx.

◆ IsA()

TClass * TMVA::OptimizeConfigParameters::IsA ( ) const

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from TMVA::IFitterTarget.

Definition at line 100 of file OptimizeConfigParameters.h.

◆ Log()

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

inlineprivate

Definition at line 98 of file OptimizeConfigParameters.h.

◆ optimize()

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

Definition at line 126 of file OptimizeConfigParameters.cxx.

◆ optimizeFit()

void TMVA::OptimizeConfigParameters::optimizeFit ( )

private

Definition at line 241 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 163 of file OptimizeConfigParameters.cxx.

◆ Streamer()

void TMVA::OptimizeConfigParameters::Streamer ( TBuffer & )

overridevirtual

Reimplemented from TMVA::IFitterTarget.

◆ StreamerNVirtual()

void TMVA::OptimizeConfigParameters::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 100 of file OptimizeConfigParameters.h.

Member Data Documentation

◆ fAlreadyTrainedParCombination

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

private

save parameters for which the FOM is already known (GA seems to evaluate the same parameters several times)

Definition at line 86 of file OptimizeConfigParameters.h.

◆ fFOMType

TString TMVA::OptimizeConfigParameters::fFOMType

private

the FOM type (Separation, ROC integra.. whatever you implemented..

Definition at line 87 of file OptimizeConfigParameters.h.

◆ fFOMvsIter

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

private

graph showing the development of the Figure Of Merit values during the fit

Definition at line 83 of file OptimizeConfigParameters.h.

◆ fLogger

MsgLogger* TMVA::OptimizeConfigParameters::fLogger

mutableprivate

! message logger

Definition at line 97 of file OptimizeConfigParameters.h.

◆ fMethod

MethodBase* const TMVA::OptimizeConfigParameters::fMethod

private

The MVA method to be evaluated.

Definition at line 82 of file OptimizeConfigParameters.h.

◆ fMvaBkg

TH1D* TMVA::OptimizeConfigParameters::fMvaBkg

private

MVA distribution for bakgr. events, used for spline fit.

Definition at line 90 of file OptimizeConfigParameters.h.

◆ fMvaBkgFineBin

TH1D* TMVA::OptimizeConfigParameters::fMvaBkgFineBin

private

MVA distribution for bakgr. events.

Definition at line 93 of file OptimizeConfigParameters.h.

◆ fMvaSig

TH1D* TMVA::OptimizeConfigParameters::fMvaSig

private

MVA distribution for signal events, used for spline fit.

Definition at line 89 of file OptimizeConfigParameters.h.

◆ fMvaSigFineBin

TH1D* TMVA::OptimizeConfigParameters::fMvaSigFineBin

private

MVA distribution for signal events.

Definition at line 92 of file OptimizeConfigParameters.h.

◆ fNotDoneYet

Bool_t TMVA::OptimizeConfigParameters::fNotDoneYet

private

flat to indicate of Method Transformations have been obtained yet or not (normally done in MethodBase::TrainMethod)

Definition at line 95 of file OptimizeConfigParameters.h.

◆ fOptimizationFitType

TString TMVA::OptimizeConfigParameters::fOptimizationFitType

private

which type of optimisation procedure to be used

Definition at line 88 of file OptimizeConfigParameters.h.

◆ fTunedParameters

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

private

parameters included in the tuning

Definition at line 85 of file OptimizeConfigParameters.h.

◆ fTuneParameters

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

private

parameters included in the tuning

Definition at line 84 of file OptimizeConfigParameters.h.

◆ TestOptimizeConfigParameters

friend TMVA::OptimizeConfigParameters::TestOptimizeConfigParameters

Definition at line 52 of file OptimizeConfigParameters.h.

Libraries for TMVA::OptimizeConfigParameters:

[legend]

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

Static Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Constructor & Destructor Documentation

◆ OptimizeConfigParameters()

◆ ~OptimizeConfigParameters()

Member Function Documentation

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ DeclFileName()

◆ EstimatorFunction()

◆ GetBkgEffAtSigEff()

◆ GetBkgRejAtSigEff()

◆ GetFOM()

◆ GetMethod()

◆ GetMVADists()

◆ GetROCIntegral()

◆ GetScanIndices()

◆ GetSeparation()

◆ GetSigEffAtBkgEff()

◆ IsA()

◆ Log()

◆ optimize()

◆ optimizeFit()

◆ optimizeScan()

◆ Streamer()

◆ StreamerNVirtual()

Member Data Documentation

◆ fAlreadyTrainedParCombination

◆ fFOMType

◆ fFOMvsIter

◆ fLogger

◆ fMethod

◆ fMvaBkg

◆ fMvaBkgFineBin

◆ fMvaSig

◆ fMvaSigFineBin

◆ fNotDoneYet

◆ fOptimizationFitType

◆ fTunedParameters

◆ fTuneParameters

◆ TestOptimizeConfigParameters