| Class | Description |
|---|---|
| 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.
|
| 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.
|
| Enum | Description |
|---|---|
| Metric.AggregateFunction |
Pluggable aggregate functions.
|