Package org.deidentifier.arx.metric

package org.deidentifier.arx.metric
Package providing access to quality models
  • Klasse
    Beschreibung
    InformationLoss<T>
    This class implements an abstract base class for information loss.
    InformationLossDefaultWithBound
    Information loss with a potential lower bound.
    InformationLossWithBound<T extends InformationLoss<?>>
    Information loss with a potential lower bound.
    Metric<T extends InformationLoss<?>>
    Abstract base class for metrics.
    Metric.AggregateFunction
    Pluggable aggregate functions.
    MetricAECS
    This class provides an implementation of the (normalized) average equivalence class size metric.
    MetricConfiguration
    A class for a configuration of a metric.
    MetricDefault
    This class provides an abstract skeleton for the implementation of metrics.
    MetricDescription
    A class describing a metric and its configuration options.
    MetricDM
    This class provides an implementation of the DM metric (non-monotonic).
    MetricDMStar
    This class provides an implementation of the DM* metric (monotonic variant of the Discernability Metric).
    MetricEntropy
    This class provides an efficient implementation of the non-uniform entropy metric.
    MetricHeight
    This class provides an implementation of the Height metric.
    MetricNMEntropy
    This class provides an efficient implementation of a non-monotonic and non-uniform entropy metric.
    MetricNMPrecision
    This class provides an implementation of a weighted precision metric as proposed in:
    Sweeney, L. (2002).
    MetricPrecision
    This class provides an implementation of a monotonic weighted precision metric.
    MetricStatic
    This class provides an implementation of a static metric in which information loss is user-defined per generalization level.
    MetricWeighted<T extends InformationLoss<?>>
    This class provides an abstract skeleton for the implementation of weighted metrics.