Package | Description |
---|---|
org.deidentifier.arx.metric.v2 |
Main package implementing quality models
|
Modifier and Type | Class and Description |
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class |
AbstractMetricMultiDimensionalPotentiallyPrecomputed
This class provides an abstract skeleton for the implementation of metrics
that can either be precomputed or not.
|
class |
MetricMDHeight
This class provides an implementation of the Height metric.
|
class |
MetricMDNMLoss
This class implements a variant of the Loss metric.
|
class |
MetricMDNMLossPotentiallyPrecomputed
This class implements a variant of the Loss metric.
|
class |
MetricMDNMLossPrecomputed
This class implements a variant of the Loss metric.
|
class |
MetricMDNMPrecision
This class provides an implementation of a weighted precision metric as
proposed in:
Sweeney, L. (2002). |
class |
MetricMDNUEntropy
This class provides an implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUEntropyPotentiallyPrecomputed
This class provides an implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUEntropyPrecomputed
This class provides an efficient implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUNMEntropy
This class provides an implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUNMEntropyPotentiallyPrecomputed
This class provides an implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUNMEntropyPrecomputed
This class provides an implementation of the non-uniform entropy
metric.
|
class |
MetricMDNUNMNormalizedEntropy
This class provides an implementation of normalized non-uniform entropy.
|
class |
MetricMDNUNMNormalizedEntropyPotentiallyPrecomputed
This class provides an implementation of normalized non-uniform entropy.
|
class |
MetricMDNUNMNormalizedEntropyPrecomputed
This class provides an efficient implementation of normalized non-uniform entropy.
|
class |
MetricMDPrecision
This class provides an implementation of a weighted precision metric as
proposed in:
Sweeney, L. (2002). |
class |
MetricMDStatic
This class provides an implementation of a static metric in
which information loss is user-defined per generalization level.
|