Uses of Class
org.tribuo.util.infotheory.impl.WeightCountTuple

Packages that use WeightCountTuple

Package	Description
org.tribuo.util.infotheory	This package provides static classes of information theoretic functions.
org.tribuo.util.infotheory.impl	This package provides the implementations and helper classes for the information theoretic functions in org.tribuo.util.infotheory.

Uses of WeightCountTuple in org.tribuo.util.infotheory

Methods in org.tribuo.util.infotheory that return types with arguments of type WeightCountTuple

Modifier and Type	Method and Description
static <T> Map<T,WeightCountTuple>	WeightedInformationTheory.calculateWeightedCountDist(ArrayList<T> vector, ArrayList<Double> weights) Generate the counts for a single vector.

Method parameters in org.tribuo.util.infotheory with type arguments of type WeightCountTuple

Modifier and Type	Method and Description
static <T> void	WeightedInformationTheory.normaliseWeights(Map<T,WeightCountTuple> map) Normalizes the weights in the map, i.e., divides each weight by it's count.

Uses of WeightCountTuple in org.tribuo.util.infotheory.impl

Methods in org.tribuo.util.infotheory.impl that return types with arguments of type WeightCountTuple

Modifier and Type	Method and Description
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedTripleDistribution.getABCount()
Map<CachedPair<T1,T3>,WeightCountTuple>	WeightedTripleDistribution.getACCount()
Map<T1,WeightCountTuple>	WeightedTripleDistribution.getACount()
Map<CachedPair<T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getBCCount()
Map<T2,WeightCountTuple>	WeightedTripleDistribution.getBCount()
Map<T3,WeightCountTuple>	WeightedTripleDistribution.getCCount()
Map<T1,WeightCountTuple>	WeightedPairDistribution.getFirstCount()
Map<CachedTriple<T1,T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getJointCount()
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedPairDistribution.getJointCounts()
Map<T2,WeightCountTuple>	WeightedPairDistribution.getSecondCount()

Method parameters in org.tribuo.util.infotheory.impl with type arguments of type WeightCountTuple

Modifier and Type	Method and Description
static <T1,T2> WeightedPairDistribution<T1,T2>	WeightedPairDistribution.constructFromMap(Map<CachedPair<T1,T2>,WeightCountTuple> jointCount) Generates a WeightedPairDistribution by generating the marginal distributions for the first and second elements.
static <T1,T2,T3> WeightedTripleDistribution<T1,T2,T3>	WeightedTripleDistribution.constructFromMap(Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount)

Constructor parameters in org.tribuo.util.infotheory.impl with type arguments of type WeightCountTuple

Constructor and Description
WeightedPairDistribution(long count, LinkedHashMap<CachedPair<T1,T2>,WeightCountTuple> jointCounts, LinkedHashMap<T1,WeightCountTuple> firstCount, LinkedHashMap<T2,WeightCountTuple> secondCount)
WeightedPairDistribution(long count, LinkedHashMap<CachedPair<T1,T2>,WeightCountTuple> jointCounts, LinkedHashMap<T1,WeightCountTuple> firstCount, LinkedHashMap<T2,WeightCountTuple> secondCount)
WeightedPairDistribution(long count, LinkedHashMap<CachedPair<T1,T2>,WeightCountTuple> jointCounts, LinkedHashMap<T1,WeightCountTuple> firstCount, LinkedHashMap<T2,WeightCountTuple> secondCount)
WeightedPairDistribution(long count, Map<CachedPair<T1,T2>,WeightCountTuple> jointCounts, Map<T1,WeightCountTuple> firstCount, Map<T2,WeightCountTuple> secondCount)
WeightedPairDistribution(long count, Map<CachedPair<T1,T2>,WeightCountTuple> jointCounts, Map<T1,WeightCountTuple> firstCount, Map<T2,WeightCountTuple> secondCount)
WeightedPairDistribution(long count, Map<CachedPair<T1,T2>,WeightCountTuple> jointCounts, Map<T1,WeightCountTuple> firstCount, Map<T2,WeightCountTuple> secondCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)
WeightedTripleDistribution(long count, Map<CachedTriple<T1,T2,T3>,WeightCountTuple> jointCount, Map<CachedPair<T1,T2>,WeightCountTuple> abCount, Map<CachedPair<T1,T3>,WeightCountTuple> acCount, Map<CachedPair<T2,T3>,WeightCountTuple> bcCount, Map<T1,WeightCountTuple> aCount, Map<T2,WeightCountTuple> bCount, Map<T3,WeightCountTuple> cCount)