Definition at line 48 of file ConvergenceTest.h.

Public Member Functions
	ConvergenceTest ()
	constructor More...

	~ConvergenceTest ()
	destructor More...

void	SetConvergenceParameters (Int_t steps, Double_t improvement)

void	SetCurrentValue (Float_t value)

Float_t	GetCurrentValue ()

void	ResetConvergenceCounter ()

Bool_t	HasConverged (Bool_t withinConvergenceBand=kFALSE)
	gives back true if the last "steps" steps have lead to an improvement of the "fitness" of the "individuals" of at least "improvement" More...

Float_t	Progress ()
	returns a float from 0 (just started) to 1 (finished) More...

Float_t	SpeedControl (UInt_t ofSteps)
	this function provides the ability to change the learning rate according to the success of the last generations. More...

Protected Attributes
Float_t	fCurrentValue

Float_t	fImprovement
	current value More...

Int_t	fSteps
	minimum improvement which counts as improvement More...

Private Attributes
Int_t	fCounter
	number of steps without improvement required for convergence More...

Float_t	fConvValue
	counts the number of steps without improvement More...

Int_t	fMaxCounter
	the best "fitness" value More...

Float_t	fBestResult
	maximum value for the counter so far More...

Float_t	fLastResult

std::deque< Short_t >	fSuccessList

#include <TMVA/ConvergenceTest.h>

Inheritance diagram for TMVA::ConvergenceTest:

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Constructor & Destructor Documentation

TMVA::ConvergenceTest::ConvergenceTest ( )

constructor

Definition at line 35 of file ConvergenceTest.cxx.

TMVA::ConvergenceTest::~ConvergenceTest ( )

destructor

Definition at line 50 of file ConvergenceTest.cxx.

Member Function Documentation

Float_t TMVA::ConvergenceTest::GetCurrentValue ( )

inline

Definition at line 59 of file ConvergenceTest.h.

Bool_t TMVA::ConvergenceTest::HasConverged ( Bool_t withinConvergenceBand = kFALSE )

gives back true if the last "steps" steps have lead to an improvement of the "fitness" of the "individuals" of at least "improvement"

this gives a simple measure of if the estimator of the MLP is converging and no major improvement is to be expected.

Definition at line 64 of file ConvergenceTest.cxx.

Float_t TMVA::ConvergenceTest::Progress ( )

returns a float from 0 (just started) to 1 (finished)

Definition at line 89 of file ConvergenceTest.cxx.

void TMVA::ConvergenceTest::ResetConvergenceCounter ( )

inline

Definition at line 60 of file ConvergenceTest.h.

void TMVA::ConvergenceTest::SetConvergenceParameters	(	Int_t	steps,
		Double_t	improvement
	)

inline

Definition at line 56 of file ConvergenceTest.h.

void TMVA::ConvergenceTest::SetCurrentValue ( Float_t value )

inline

Definition at line 58 of file ConvergenceTest.h.

Float_t TMVA::ConvergenceTest::SpeedControl ( UInt_t ofSteps )

this function provides the ability to change the learning rate according to the success of the last generations.

Parameters: int ofSteps : = if OF the number of STEPS given in this variable (ofSteps) the rate of improvement has to be calculated

using this function one can increase the stepSize of the mutation when we have good success (to pass fast through the easy phase-space) and reduce the learning rate if we are in a difficult "territory" of the phase-space.

Definition at line 110 of file ConvergenceTest.cxx.