Verwendungen von Klasse
org.deidentifier.arx.metric.v2.AbstractILMultiDimensional

Packages, die AbstractILMultiDimensional verwenden

Package	Beschreibung
org.deidentifier.arx.metric	Package providing access to quality models
org.deidentifier.arx.metric.v2	Main package implementing quality models

Verwendungen von AbstractILMultiDimensional in org.deidentifier.arx.metric

Methoden in org.deidentifier.arx.metric, die Typen mit Argumenten vom Typ AbstractILMultiDimensional zurückgeben

Modifizierer und Typ	Methode	Beschreibung
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric()	Creates an instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric(boolean monotonic)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric(boolean monotonic, double gsFactor)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric(boolean monotonic, Metric.AggregateFunction function)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createEntropyMetric(double gsFactor)	Creates an instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createHeightMetric()	Creates an instance of the height metric.
static Metric<AbstractILMultiDimensional>	Metric.createHeightMetric(Metric.AggregateFunction function)	Creates an instance of the height metric.
static Metric<AbstractILMultiDimensional>	Metric.createLossMetric()	Creates an instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	Metric.createLossMetric(double gsFactor)	Creates an instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	Metric.createLossMetric(double gsFactor, Metric.AggregateFunction function)	Creates an instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	Metric.createLossMetric(Metric.AggregateFunction function)	Creates an instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	Metric.createNormalizedEntropyMetric()	Creates an instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createNormalizedEntropyMetric(Metric.AggregateFunction function)	Creates an instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric()	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(boolean monotonic)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(boolean monotonic, double gsFactor)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(boolean monotonic, Metric.AggregateFunction function)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(double gsFactor)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(double gsFactor, Metric.AggregateFunction function)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecisionMetric(Metric.AggregateFunction function)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold)	Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold, boolean monotonic)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold, boolean monotonic, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedEntropyMetric(double threshold, double gsFactor)	Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedLossMetric(double threshold)	Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedLossMetric(double threshold, double gsFactor)	Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedLossMetric(double threshold, double gsFactor, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedLossMetric(double threshold, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedNormalizedEntropyMetric(double threshold)	Creates a potentially precomputed instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createPrecomputedNormalizedEntropyMetric(double threshold, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createStaticMetric(Map<String,List<Double>> loss)	Creates an instance of a metric with statically defined information loss.
static Metric<AbstractILMultiDimensional>	Metric.createStaticMetric(Map<String,List<Double>> loss, Metric.AggregateFunction function)	Creates an instance of a metric with statically defined information loss.

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

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

Modifizierer und Typ	Klasse	Beschreibung
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.

Methoden in org.deidentifier.arx.metric.v2, die Typen mit Argumenten vom Typ AbstractILMultiDimensional zurückgeben

Modifizierer und Typ	Methode	Beschreibung
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric()	Creates an instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(boolean monotonic)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(boolean monotonic, double gsFactor)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(boolean monotonic, double[][] cache, int[][][] cardinalities, int[][][] hierarchies)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(boolean monotonic, Metric.AggregateFunction function)	Creates an instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createEntropyMetric(double gsFactor)	Creates an instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createHeightMetric()	Creates an instance of the height metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createHeightMetric(int minHeight, int maxHeight)	Creates an instance of the height metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createHeightMetric(Metric.AggregateFunction function)	Creates an instance of the height metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createLossMetric()	Creates an instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	__MetricV2.createLossMetric(double gsFactor)	Creates an instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	__MetricV2.createLossMetric(double gsFactor, Metric.AggregateFunction function)	Creates an instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	__MetricV2.createLossMetric(Metric.AggregateFunction function)	Creates an instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	__MetricV2.createNormalizedEntropyMetric()	Creates an instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createNormalizedEntropyMetric(Metric.AggregateFunction function)	Creates an instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric()	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(boolean monotonic)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(boolean monotonic, double gsFactor)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(boolean monotonic, int[] heights, double cells)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(boolean monotonic, Metric.AggregateFunction function)	Creates an instance of the precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(double gsFactor)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(double gsFactor, Metric.AggregateFunction function)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecisionMetric(Metric.AggregateFunction function)	Creates an instance of the non-monotonic precision metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold)	Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold, boolean monotonic)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold, boolean monotonic, double gsFactor, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold, boolean monotonic, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedEntropyMetric(double threshold, double gsFactor)	Creates a potentially precomputed instance of the non-monotonic non-uniform entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedLossMetric(double threshold)	Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedLossMetric(double threshold, double gsFactor)	Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedLossMetric(double threshold, double gsFactor, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the loss metric with factors for weighting generalization and suppression.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedLossMetric(double threshold, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the loss metric which treats generalization and suppression equally.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedNormalizedEntropyMetric(double threshold)	Creates a potentially precomputed instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createPrecomputedNormalizedEntropyMetric(double threshold, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	__MetricV2.createStaticMetric(Map<String,List<Double>> loss)	Creates an instance of a metric with statically defined information loss.
static Metric<AbstractILMultiDimensional>	__MetricV2.createStaticMetric(Map<String,List<Double>> loss, Metric.AggregateFunction function)	Creates an instance of a metric with statically defined information loss.

Konstruktoren in org.deidentifier.arx.metric.v2 mit Parametern vom Typ AbstractILMultiDimensional

Modifizierer	Konstruktor	Beschreibung
	ILMultiDimensionalWithBound(AbstractILMultiDimensional informationLoss)	Creates a new instance without a lower bound.
	ILMultiDimensionalWithBound(AbstractILMultiDimensional informationLoss, AbstractILMultiDimensional lowerBound)	Creates a new instance.