biz.sc.mm.dm.algorithm.ets

Interface ETSAlgorithmSettings

All Superinterfaces:

java.lang.Cloneable, MiningAlgorithmSettings, PersistentObject, Verifiable

public interface ETSAlgorithmSettings
extends MiningAlgorithmSettings

Interface for ets algorithm settings

Method Summary

Methods

Modifier and Type	Method and Description
boolean	getAutomaticModelSelection() Gets automatic model selection flag
double	getConvergenceThreshold() Gets value of convergence treshold
boolean	getDamped() Gets value of damped parameter
ETSCalculatorSettingsImpl	getETSCalculatorSettings() Gest ets calculator settings
InformationCriterion	getInfCrit()
int	getMaxIterationsNumber() Gets maximum value of steps number during model fitting procedure
OptimCriterion	getOptCrit() Gets type of optimum criterion for model fitting
ETSOptimizingSignature	getOptimizingSignature() Gets optimizing signature for fitting procedure
boolean	getReadReversedData() Gets reversed ordering parameter
boolean	getSort() Gets value of sort parameter
void	setAutomaticModelSelection(boolean automaticModelSelection) Sets automatic model selection flag: true=algorith will decide which model is best
void	setConvergenceThreshold(double treshold) Sets value of convergence treshold during model fitting procedure
void	setDamped(boolean damped) Sets value of damped parameter
void	setETSCalculatorSettings(ETSCalculatorSettings settings)
void	setInfCrit(InformationCriterion infCrit) Sets type of information criterion for model selection
void	setMaxIterationsNumber(int maxIt) Sets maximum value of steps number during model fitting procedure
void	setOptCrit(OptimCriterion optCrit) Sets type of optimum critrion for model fitting
void	setOptimizingSignature(ETSOptimizingSignature optimizingSignature) Sets optimizing signature for fitting procedure
void	setReadReversedData(boolean readReversedData) Sets reversed ordering of reading data: true=reversed order, false=normal order
void	setSort(boolean sort) Sets sorting in reading data

Methods inherited from interface biz.sc.mm.dm.base.MiningAlgorithmSettings

clone

Methods inherited from interface biz.sc.mm.dm.PersistentObject

getDescription, getName, getObjectIdentifier, getProperties, isEditable, setDescription, setEditable, setName, setObjectIdentifier

Methods inherited from interface biz.sc.mm.dm.base.Verifiable

verify

Method Detail

setDamped

void setDamped(boolean damped)

Sets value of damped parameter

Parameters:

damped - value of damped parameter

getDamped

boolean getDamped()

Gets value of damped parameter

Returns:

value of damped parameter

setOptCrit

void setOptCrit(OptimCriterion optCrit)

Sets type of optimum critrion for model fitting

Parameters:

optCrit -

getOptCrit

OptimCriterion getOptCrit()

Gets type of optimum criterion for model fitting

Returns:

type of optimum criterium for model fitting

setInfCrit

void setInfCrit(InformationCriterion infCrit)

Sets type of information criterion for model selection

Parameters:

infCrit - type of information criterion

getInfCrit

InformationCriterion getInfCrit()

setAutomaticModelSelection

void setAutomaticModelSelection(boolean automaticModelSelection)

Sets automatic model selection flag: true=algorith will decide which model is best

Parameters:

automaticModelSelection - value of parameter

getAutomaticModelSelection

boolean getAutomaticModelSelection()

Gets automatic model selection flag

Returns:

value of automatic model selection flag

setSort

void setSort(boolean sort)

Sets sorting in reading data

Parameters:

sort - value of sort paramter

getSort

boolean getSort()

Gets value of sort parameter

Returns:

value of sort parameter

getETSCalculatorSettings

ETSCalculatorSettingsImpl getETSCalculatorSettings()

Gest ets calculator settings

Returns:

ets calculator settings object

setETSCalculatorSettings

void setETSCalculatorSettings(ETSCalculatorSettings settings)

setConvergenceThreshold

void setConvergenceThreshold(double treshold)

Sets value of convergence treshold during model fitting procedure

Parameters:

treshold - value of treshold

getConvergenceThreshold

double getConvergenceThreshold()

Gets value of convergence treshold

Returns:

value of convergence treshold

setMaxIterationsNumber

void setMaxIterationsNumber(int maxIt)

Sets maximum value of steps number during model fitting procedure

Parameters:

maxIt - maximum value of steps number

getMaxIterationsNumber

int getMaxIterationsNumber()

Gets maximum value of steps number during model fitting procedure

Returns:

maximum value of steps number

setReadReversedData

void setReadReversedData(boolean readReversedData)

Sets reversed ordering of reading data: true=reversed order, false=normal order

Parameters:

readReversedData - parameter value

getReadReversedData

boolean getReadReversedData()

Gets reversed ordering parameter

Returns:

value of reversed ordering parameter

setOptimizingSignature

void setOptimizingSignature(ETSOptimizingSignature optimizingSignature)

Sets optimizing signature for fitting procedure

Parameters:

optimizingSignature - optimizing signature

getOptimizingSignature

ETSOptimizingSignature getOptimizingSignature()

Gets optimizing signature for fitting procedure

Returns:

optimizing signature