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