biz.sc.mm.dm.algorithm.abm

Interface ABMSettings

All Superinterfaces:

ABMCommonSettings, java.lang.Cloneable, MiningAlgorithmSettings, PersistentObject, Verifiable

public interface ABMSettings
extends ABMCommonSettings

Method Summary

Methods

Modifier and Type	Method and Description
ApproximationModelQualityMeasure	getApproximationModelQualityMeasure()
ClassificationModelQualityMeasure	getClassificationModelQualityMeasure()
double	getClassificationThreshold()
ClassificationThresholdType	getClassificationThresholdType()
double	getCutoff()
DataSource	getDataSource()
double	getFalseNegativeCost()
double	getFalseNegativeProfit()
double	getFalsePositiveCost()
double	getFalsePositiveProfit()
int	getNumberOfQuantiles()
Signature	getSignature()
TimePeriod	getTimePeriod()
TimeSeriesModelQualityMeasure	getTimeSeriesModelQualityMeasure()
double	getTrueNegativeCost()
double	getTrueNegativeProfit()
double	getTruePositiveCost()
double	getTruePositiveProfit()
void	setApproximationModelQualityMeasure(ApproximationModelQualityMeasure measure)
void	setClassificationModelQualityMeasure(ClassificationModelQualityMeasure measure)
void	setClassificationThreshold(double threshold)
void	setClassificationThresholdType(ClassificationThresholdType type)
void	setCutoff(double cutoff)
void	setFalseNegativeCost(double cost)
void	setFalseNegativeProfit(double profit)
void	setFalsePositiveCost(double cost)
void	setFalsePositiveProfit(double profit)
void	setNumberOfQuantiles(int quantiles)
void	setTimePeriod(TimePeriod timePeriod)
void	setTimeSeriesModelQualityMeasure(TimeSeriesModelQualityMeasure measure)
void	setTrueNegativeCost(double cost)
void	setTrueNegativeProfit(double profit)
void	setTruePositiveCost(double cost)
void	setTruePositiveProfit(double profit)

Methods inherited from interface biz.sc.mm.dm.algorithm.abm.ABMCommonSettings

getDatabaseAlias, getDiscreteCountLimit, getProcessType, getSignatureName, setDatabaseAlias, setDiscreteCountLimit, setProcessType, setSignatureName

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

setApproximationModelQualityMeasure

void setApproximationModelQualityMeasure(ApproximationModelQualityMeasure measure)

Parameters:

measure - measure used in ChooseModel for choosing the best model in approximation mode

getApproximationModelQualityMeasure

ApproximationModelQualityMeasure getApproximationModelQualityMeasure()

Returns:

measure used in ChooseModel for choosing the best model in approximation mode

setClassificationModelQualityMeasure

void setClassificationModelQualityMeasure(ClassificationModelQualityMeasure measure)

Parameters:

measure - measure used in ChooseModel for choosing the best model in classification mode

getClassificationModelQualityMeasure

ClassificationModelQualityMeasure getClassificationModelQualityMeasure()

Returns:

measure used in ChooseModel for choosing the best model in classification mode

setTimeSeriesModelQualityMeasure

void setTimeSeriesModelQualityMeasure(TimeSeriesModelQualityMeasure measure)

Parameters:

measure - measure used in ChooseModel for choosing the best model in time series mode

getTimeSeriesModelQualityMeasure

TimeSeriesModelQualityMeasure getTimeSeriesModelQualityMeasure()

Returns:

measure used in ChooseModel for choosing the best model in time series mode

setCutoff

void setCutoff(double cutoff)

Parameters:

cutoff - cutoff for which model quality measures are calculated

getCutoff

double getCutoff()

Returns:

cutoff for which model quality measures are calculated

setClassificationThresholdType

void setClassificationThresholdType(ClassificationThresholdType type)

getClassificationThresholdType

ClassificationThresholdType getClassificationThresholdType()

setClassificationThreshold

void setClassificationThreshold(double threshold)

Parameters:

threshold - probability for which model quality measures are calculated

getClassificationThreshold

double getClassificationThreshold()

Returns:

probability for which model quality measures are calculated

setTruePositiveCost

void setTruePositiveCost(double cost)

getTruePositiveCost

double getTruePositiveCost()

setTrueNegativeCost

void setTrueNegativeCost(double cost)

getTrueNegativeCost

double getTrueNegativeCost()

setFalsePositiveCost

void setFalsePositiveCost(double cost)

getFalsePositiveCost

double getFalsePositiveCost()

setFalseNegativeCost

void setFalseNegativeCost(double cost)

getFalseNegativeCost

double getFalseNegativeCost()

setTruePositiveProfit

void setTruePositiveProfit(double profit)

getTruePositiveProfit

double getTruePositiveProfit()

setTrueNegativeProfit

void setTrueNegativeProfit(double profit)

getTrueNegativeProfit

double getTrueNegativeProfit()

setFalsePositiveProfit

void setFalsePositiveProfit(double profit)

getFalsePositiveProfit

double getFalsePositiveProfit()

setFalseNegativeProfit

void setFalseNegativeProfit(double profit)

getFalseNegativeProfit

double getFalseNegativeProfit()

setNumberOfQuantiles

void setNumberOfQuantiles(int quantiles)

Parameters:

quantiles - number of quantiles for which model quality measures are calculated

getNumberOfQuantiles

int getNumberOfQuantiles()

Returns:

number of quantiles for which model quality measures are calculated

setTimePeriod

void setTimePeriod(TimePeriod timePeriod)

Parameters:

timePeriod - TimePeriod used in time series mode

getTimePeriod

TimePeriod getTimePeriod()

Returns:

TimePeriod used in time series mode

getDataSource

DataSource getDataSource()

getSignature

Signature getSignature()

Returns:

Signature object containing statistics calculated during task execution