Verwendungen von Klasse
org.deidentifier.arx.metric.InformationLoss

Packages, die InformationLoss verwenden

Package	Beschreibung
org.deidentifier.arx	This package provides the public API for the ARX anonymization framework.
org.deidentifier.arx.metric	Package providing access to quality models
org.deidentifier.arx.metric.v2	Main package implementing quality models

Verwendungen von InformationLoss in org.deidentifier.arx

Methoden in org.deidentifier.arx, die InformationLoss zurückgeben

Modifizierer und Typ	Methode	Beschreibung
InformationLoss<?>	ARXLattice.ARXNode.getHighestScore()	Returns the highest score.
InformationLoss<?>	ARXLattice.getHighestScore()	Returns the highest score.
InformationLoss<?>	ARXLattice.ARXNode.getLowestScore()	Returns the highest score.
InformationLoss<?>	ARXLattice.getLowestScore()	Returns the lowest score.
InformationLoss<?>	ARXProcessStatistics.Step.getScore()	Returns a node's lower bound, if any.

Methoden in org.deidentifier.arx mit Parametern vom Typ InformationLoss

Modifizierer und Typ	Methode	Beschreibung
void	ARXLattice.ARXNode.Access.setHighestScore(InformationLoss<?> a)	Sets the maximal information loss.
void	ARXLattice.ARXNode.Access.setLowerBound(InformationLoss<?> a)	Sets the lower bound.
void	ARXLattice.ARXNode.Access.setLowestScore(InformationLoss<?> a)	Sets the minimal information loss.

Verwendungen von InformationLoss in org.deidentifier.arx.metric

Klassen in org.deidentifier.arx.metric mit Typparametern vom Typ InformationLoss

Modifizierer und Typ	Klasse	Beschreibung
class	InformationLossWithBound<T extends InformationLoss<?>>	Information loss with a potential lower bound.
class	Metric<T extends InformationLoss<?>>	Abstract base class for metrics.
class	MetricWeighted<T extends InformationLoss<?>>	This class provides an abstract skeleton for the implementation of weighted metrics.

Methoden in org.deidentifier.arx.metric, die InformationLoss zurückgeben

Modifizierer und Typ	Methode	Beschreibung
abstract InformationLoss<T>	InformationLoss.clone()	Returns a clone of this object.
static InformationLoss<?>	InformationLoss.createInformationLoss(InformationLoss<?> loss, Metric<?> metric, int minLevel, int maxLevel)	Converter method, converting information loss from version 1 to information loss from version 2, if necessary.
InformationLoss<?>	Metric.createInstanceOfHighestScore()	Returns an instance of the highest possible score.
InformationLoss<?>	Metric.createInstanceOfLowestScore()	Returns an instance of the lowest possible score.
abstract InformationLoss<?>	Metric.createMaxInformationLoss()	Veraltet.
InformationLoss<?>	MetricAECS.createMaxInformationLoss()
InformationLoss<?>	MetricDefault.createMaxInformationLoss()
InformationLoss<?>	MetricDM.createMaxInformationLoss()
InformationLoss<?>	MetricDMStar.createMaxInformationLoss()
InformationLoss<?>	MetricHeight.createMaxInformationLoss()
InformationLoss<?>	MetricNMPrecision.createMaxInformationLoss()
InformationLoss<?>	MetricPrecision.createMaxInformationLoss()
InformationLoss<?>	MetricStatic.createMaxInformationLoss()
abstract InformationLoss<?>	Metric.createMinInformationLoss()	Veraltet.
InformationLoss<?>	MetricAECS.createMinInformationLoss()
InformationLoss<?>	MetricDefault.createMinInformationLoss()
InformationLoss<?>	MetricDM.createMinInformationLoss()
InformationLoss<?>	MetricDMStar.createMinInformationLoss()
InformationLoss<?>	MetricHeight.createMinInformationLoss()
InformationLoss<?>	MetricNMPrecision.createMinInformationLoss()
InformationLoss<?>	MetricPrecision.createMinInformationLoss()
InformationLoss<?>	MetricStatic.createMinInformationLoss()

Methoden in org.deidentifier.arx.metric mit Parametern vom Typ InformationLoss

Modifizierer und Typ	Methode	Beschreibung
abstract int	InformationLoss.compareTo(InformationLoss<?> other)	Compares the loss to the other.
static InformationLoss<?>	InformationLoss.createInformationLoss(InformationLoss<?> loss, Metric<?> metric, int minLevel, int maxLevel)	Converter method, converting information loss from version 1 to information loss from version 2, if necessary.
abstract void	InformationLoss.max(InformationLoss<?> other)	Retains the maximum of this and other.
abstract void	InformationLoss.min(InformationLoss<?> other)	Retains the minimum of this and other.
abstract double	InformationLoss.relativeTo(InformationLoss<?> min, InformationLoss<?> max)	Returns the value relative to the other instance.

Verwendungen von InformationLoss in org.deidentifier.arx.metric.v2

Unterklassen von InformationLoss in org.deidentifier.arx.metric.v2

Modifizierer und Typ	Klasse	Beschreibung
class	AbstractILMultiDimensional	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	AbstractILMultiDimensionalReduced	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILMultiDimensionalArithmeticMean	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILMultiDimensionalGeometricMean	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILMultiDimensionalMax	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILMultiDimensionalRank	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILMultiDimensionalSum	This class implements an information loss which can be represented as a decimal number per quasi-identifier.
class	ILScore	This class implements information loss using score values for data-independent differential privacy with appropriate comparison semantics (i.e. higher score values are better).
class	ILSingleDimensional	This class implements an information loss which can be represented as a single decimal number.

Methoden in org.deidentifier.arx.metric.v2, die InformationLoss zurückgeben

Modifizierer und Typ	Methode	Beschreibung
abstract InformationLoss<double[]>	AbstractILMultiDimensional.clone()
abstract InformationLoss<double[]>	AbstractILMultiDimensionalReduced.clone()	Override this to implement a variant.
InformationLoss<double[]>	ILMultiDimensionalArithmeticMean.clone()
InformationLoss<double[]>	ILMultiDimensionalGeometricMean.clone()
InformationLoss<double[]>	ILMultiDimensionalMax.clone()
InformationLoss<double[]>	ILMultiDimensionalRank.clone()
InformationLoss<double[]>	ILMultiDimensionalSum.clone()
InformationLoss<org.apache.commons.math3.fraction.BigFraction>	ILScore.clone()
InformationLoss<Double>	ILSingleDimensional.clone()
static InformationLoss<?>	__MetricV2.createILMultiDimensionalArithmeticMean(double value)	Helper method.
static InformationLoss<?>	__MetricV2.createILMultiDimensionalSum(double value)	Helper method.
static InformationLoss<?>	__MetricV2.createILSingleDimensional(double value)	Helper method.
InformationLoss<?>	AbstractMetricMultiDimensional.createMaxInformationLoss()
InformationLoss<?>	AbstractMetricMultiDimensionalPotentiallyPrecomputed.createMaxInformationLoss()
InformationLoss<?>	AbstractMetricSingleDimensional.createMaxInformationLoss()
InformationLoss<?>	AbstractMetricMultiDimensional.createMinInformationLoss()
InformationLoss<?>	AbstractMetricMultiDimensionalPotentiallyPrecomputed.createMinInformationLoss()
InformationLoss<?>	AbstractMetricSingleDimensional.createMinInformationLoss()

Methoden in org.deidentifier.arx.metric.v2 mit Parametern vom Typ InformationLoss

Modifizierer und Typ	Methode	Beschreibung
abstract int	AbstractILMultiDimensional.compareTo(InformationLoss<?> other)
int	AbstractILMultiDimensionalReduced.compareTo(InformationLoss<?> other)
int	ILMultiDimensionalRank.compareTo(InformationLoss<?> other)
int	ILScore.compareTo(InformationLoss<?> other)
int	ILSingleDimensional.compareTo(InformationLoss<?> other)
void	AbstractILMultiDimensional.max(InformationLoss<?> other)
void	ILScore.max(InformationLoss<?> other)
void	ILSingleDimensional.max(InformationLoss<?> other)
void	AbstractILMultiDimensional.min(InformationLoss<?> other)
void	ILScore.min(InformationLoss<?> other)
void	ILSingleDimensional.min(InformationLoss<?> other)
abstract double	AbstractILMultiDimensional.relativeTo(InformationLoss<?> min, InformationLoss<?> max)
double	AbstractILMultiDimensionalReduced.relativeTo(InformationLoss<?> min, InformationLoss<?> max)
double	ILMultiDimensionalRank.relativeTo(InformationLoss<?> min, InformationLoss<?> max)
double	ILScore.relativeTo(InformationLoss<?> min, InformationLoss<?> max)
double	ILSingleDimensional.relativeTo(InformationLoss<?> min, InformationLoss<?> max)