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	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	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	Description
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedTripleDistribution.getABCount()	The joint distribution over the first and second variables.
Map<CachedPair<T1,T3>,WeightCountTuple>	WeightedTripleDistribution.getACCount()	The joint distribution over the first and third variables.
Map<T1,WeightCountTuple>	WeightedTripleDistribution.getACount()	The marginal distribution over the first variable.
Map<CachedPair<T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getBCCount()	The joint distribution over the second and third variables.
Map<T2,WeightCountTuple>	WeightedTripleDistribution.getBCount()	The marginal distribution over the second variable.
Map<T3,WeightCountTuple>	WeightedTripleDistribution.getCCount()	The marginal distribution over the third variable.
Map<T1,WeightCountTuple>	WeightedPairDistribution.getFirstCount()	Gets the first marginal distribution.
Map<CachedTriple<T1,T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getJointCount()	The joint distribution over the three variables.
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedPairDistribution.getJointCounts()	Gets the joint distribution.
Map<T2,WeightCountTuple>	WeightedPairDistribution.getSecondCount()	Gets the second marginal distribution.

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

Modifier and Type	Method	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)	Constructs a WeightedTripleDistribution by marginalising the supplied joint distribution.

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

Modifier	Constructor	Description
	WeightedPairDistribution(long count, LinkedHashMap<CachedPair<T1,T2>,WeightCountTuple> jointCounts, LinkedHashMap<T1,WeightCountTuple> firstCount, LinkedHashMap<T2,WeightCountTuple> secondCount)	Constructs a weighted pair distribution from the supplied values.
	WeightedPairDistribution(long count, Map<CachedPair<T1,T2>,WeightCountTuple> jointCounts, Map<T1,WeightCountTuple> firstCount, Map<T2,WeightCountTuple> secondCount)	Constructs a weighted pair distribution from the supplied values.
	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)	Constructs a weighted triple distribution from the supplied values.