Verwendungen von Enum
org.deidentifier.arx.metric.Metric.AggregateFunction

Packages, die Metric.AggregateFunction 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 Metric.AggregateFunction in org.deidentifier.arx.metric

Methoden in org.deidentifier.arx.metric, die Metric.AggregateFunction zurückgeben

Modifizierer und Typ	Methode	Beschreibung
Metric.AggregateFunction	Metric.getAggregateFunction()	Returns the aggregate function of a multi-dimensional metric, null otherwise.
Metric.AggregateFunction	MetricConfiguration.getAggregateFunction()
static Metric.AggregateFunction	Metric.AggregateFunction.valueOf(String name)	Gibt die Enumerationskonstante dieses Typs mit dem angegebenen Namen zurück.
static Metric.AggregateFunction[]	Metric.AggregateFunction.values()	Gibt ein Array mit den Konstanten dieses Enum-Typs in der Reihenfolge ihrer Deklaration zurück.

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

Modifizierer und Typ	Methode	Beschreibung
List<Metric.AggregateFunction>	MetricDescription.getSupportedAggregateFunctions()	Returns a list of all supported aggregate functions.

Methoden in org.deidentifier.arx.metric mit Parametern vom Typ Metric.AggregateFunction

Modifizierer und Typ	Methode	Beschreibung
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.createHeightMetric(Metric.AggregateFunction function)	Creates an instance of the height metric.
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(Metric.AggregateFunction function)	Creates an instance of the normalized entropy 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, 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, 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.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, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the normalized entropy metric.
static Metric<AbstractILMultiDimensional>	Metric.createStaticMetric(Map<String,List<Double>> loss, Metric.AggregateFunction function)	Creates an instance of a metric with statically defined information loss.
void	MetricConfiguration.setAggregateFunction(Metric.AggregateFunction aggregateFunction)

Konstruktoren in org.deidentifier.arx.metric mit Parametern vom Typ Metric.AggregateFunction

Modifizierer	Konstruktor	Beschreibung
	MetricConfiguration(boolean monotonic, double gsFactor, boolean precomputed, double precomputationThreshold, Metric.AggregateFunction aggregateFunction)	Constructs a new instance.

Verwendungen von Metric.AggregateFunction in org.deidentifier.arx.metric.v2

Methoden in org.deidentifier.arx.metric.v2, die Metric.AggregateFunction zurückgeben

Modifizierer und Typ	Methode	Beschreibung
Metric.AggregateFunction	AbstractMetricMultiDimensional.getAggregateFunction()
Metric.AggregateFunction	AbstractMetricMultiDimensionalPotentiallyPrecomputed.getAggregateFunction()

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

Modifizierer und Typ	Methode	Beschreibung
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.createHeightMetric(Metric.AggregateFunction function)	Creates an instance of the height metric.
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(Metric.AggregateFunction function)	Creates an instance of the normalized entropy 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, Metric.AggregateFunction function)	Creates an instance of the 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, 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.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, Metric.AggregateFunction function)	Creates a potentially precomputed instance of the normalized entropy metric.
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 Metric.AggregateFunction

Modifizierer	Konstruktor	Beschreibung
	MetricMDNMLoss(double gsFactor, Metric.AggregateFunction function)	A constructor that allows to define a factor weighting generalization and suppression.
	MetricMDNMLoss(Metric.AggregateFunction function)	Default constructor which treats all transformation methods equally.
	MetricMDNUEntropyPrecomputed(boolean monotonicWithGeneralization, boolean monotonicWithSuppression, boolean independent, double gsFactor, Metric.AggregateFunction function)	Precomputed.
	MetricMDNUNMNormalizedEntropyPrecomputed(Metric.AggregateFunction function)	Creates a new instance.