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

Packages that use WeightedTripleDistribution

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 WeightedTripleDistribution in org.tribuo.util.infotheory

Methods in org.tribuo.util.infotheory with parameters of type WeightedTripleDistribution

Modifier and Type	Method	Description
static <T1, T2, T3> double	WeightedInformationTheory.conditionalMI(WeightedTripleDistribution<T1,T2,T3> tripleRV)	Calculates the discrete weighted conditional mutual information, using histogram probability estimators.
static <T1, T2, T3> double	WeightedInformationTheory.jointMI(WeightedTripleDistribution<T1,T2,T3> tripleRV)	Calculates the discrete weighted joint mutual information, using histogram probability estimators.

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

Methods in org.tribuo.util.infotheory.impl that return WeightedTripleDistribution

Modifier and Type	Method	Description
static <T1, T2, T3> WeightedTripleDistribution<T1,T2,T3>	WeightedTripleDistribution.constructFromLists(List<T1> first, List<T2> second, List<T3> third, List<Double> weights)	Constructs a WeightedTripleDistribution from three lists of the same length and a list of weights of the same length.
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.