Definition at line 48 of file ConvergenceTest.h.

Public Member Functions
	ConvergenceTest ()
	constructor More...

	~ConvergenceTest ()
	destructor More...

Float_t	GetCurrentValue ()

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...

void	ResetConvergenceCounter ()

void	SetConvergenceParameters (Int_t steps, Double_t improvement)

void	SetCurrentValue (Float_t value)

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

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

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

Float_t	fLastResult

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

std::deque< Short_t >	fSuccessList

#include <TMVA/ConvergenceTest.h>

Inheritance diagram for TMVA::ConvergenceTest:

[legend]

Constructor & Destructor Documentation

◆ ConvergenceTest()

TMVA::ConvergenceTest::ConvergenceTest ( )

constructor

Definition at line 35 of file ConvergenceTest.cxx.

◆ ~ConvergenceTest()

TMVA::ConvergenceTest::~ConvergenceTest ( )

destructor

Definition at line 50 of file ConvergenceTest.cxx.

Member Function Documentation

◆ GetCurrentValue()

Float_t TMVA::ConvergenceTest::GetCurrentValue ( )

inline

Definition at line 59 of file ConvergenceTest.h.

◆ HasConverged()

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.

◆ Progress()

Float_t TMVA::ConvergenceTest::Progress ( )

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

Definition at line 89 of file ConvergenceTest.cxx.

◆ ResetConvergenceCounter()

void TMVA::ConvergenceTest::ResetConvergenceCounter ( )

inline

Definition at line 60 of file ConvergenceTest.h.

◆ SetConvergenceParameters()

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

inline

Definition at line 56 of file ConvergenceTest.h.

◆ SetCurrentValue()

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

inline

Definition at line 58 of file ConvergenceTest.h.

◆ SpeedControl()

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.

Member Data Documentation

◆ fBestResult

Float_t TMVA::ConvergenceTest::fBestResult

private

maximum value for the counter so far

Definition at line 83 of file ConvergenceTest.h.

◆ fConvValue

Float_t TMVA::ConvergenceTest::fConvValue

private

counts the number of steps without improvement

Definition at line 78 of file ConvergenceTest.h.

◆ fCounter

Int_t TMVA::ConvergenceTest::fCounter

private

number of steps without improvement required for convergence

Definition at line 77 of file ConvergenceTest.h.

◆ fCurrentValue

Float_t TMVA::ConvergenceTest::fCurrentValue

protected

Definition at line 70 of file ConvergenceTest.h.

◆ fImprovement

Float_t TMVA::ConvergenceTest::fImprovement

protected

current value

Definition at line 72 of file ConvergenceTest.h.

◆ fLastResult

Float_t TMVA::ConvergenceTest::fLastResult

private

Definition at line 84 of file ConvergenceTest.h.

◆ fMaxCounter

Int_t TMVA::ConvergenceTest::fMaxCounter

private

the best "fitness" value

Definition at line 79 of file ConvergenceTest.h.

◆ fSteps

Int_t TMVA::ConvergenceTest::fSteps

protected

minimum improvement which counts as improvement

Definition at line 73 of file ConvergenceTest.h.

◆ fSuccessList

std::deque<Short_t> TMVA::ConvergenceTest::fSuccessList

private

Definition at line 85 of file ConvergenceTest.h.

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

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

Public Member Functions

Protected Attributes

Private Attributes

Constructor & Destructor Documentation

◆ ConvergenceTest()

◆ ~ConvergenceTest()

Member Function Documentation

◆ GetCurrentValue()

◆ HasConverged()

◆ Progress()

◆ ResetConvergenceCounter()

◆ SetConvergenceParameters()

◆ SetCurrentValue()

◆ SpeedControl()

Member Data Documentation

◆ fBestResult

◆ fConvValue

◆ fCounter

◆ fCurrentValue

◆ fImprovement

◆ fLastResult

◆ fMaxCounter

◆ fSteps

◆ fSuccessList