| Interface | Description |
|---|---|
| AggregationFunction |
This class aggregates a list of doubles to a single double.
|
| CompatibilityMeasure |
This interface represents a compatibility measure for MLNs.
|
| DistanceFunction |
This interface defines a distance function for two vectors of doubles.
|
| Class | Description |
|---|---|
| AbstractCoherenceMeasure |
This class represents an abstract coherence measure, i.e.
|
| AggregatingCoherenceMeasure |
This coherence measure uses an aggregation function and a distance function
to measure the coherence of an MLN.
|
| AggregatingDistanceFunction |
This distance function uses an aggregator on the 1-norm distance of each
value.
|
| AverageAggregator |
This aggregation function models the average function.
|
| DefaultCompatibilityMeasure |
This class represents the default compatibility measure that uses
a coherence measure.
|
| MaxAggregator |
This aggregation function models the maximum function.
|
| MinAggregator |
This aggregation function models the minimum function.
|
| PNormDistanceFunction |
This class implement the p-norm distance function.
|
| ProbabilisticAggregatingDistanceFunction |
This distance function uses an aggregator on a probabilistically normalized distance
for probabilities of each value.
|
| ProbabilisticPNormDistanceFunction |
This class implement the p-norm distance function where distances are normalized
corresponding to their distance to 0.5.
|
| ProductAggregator |
This aggregation function models the product function.
|
| SumAggregator |
This aggregation function models the sum function.
|