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

Packages that use TripleDistribution

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 TripleDistribution in org.tribuo.util.infotheory

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

Modifier and Type	Method	Description
static <T1, T2, T3> double	InformationTheory.conditionalMI(TripleDistribution<T1,T2,T3> rv)	Calculates the discrete Shannon conditional mutual information, using histogram probability estimators.
static <T1, T2, T3> double	WeightedInformationTheory.conditionalMI(TripleDistribution<T1,T2,T3> rv, Map<?,Double> weights, WeightedInformationTheory.VariableSelector vs)	Calculates the discrete weighted conditional mutual information, using histogram probability estimators.
static <T1, T2, T3> double	InformationTheory.conditionalMIFlipped(TripleDistribution<T1,T2,T3> rv)	Calculates the discrete Shannon conditional mutual information, using histogram probability estimators.
static <T1, T2, T3> double	InformationTheory.jointMI(TripleDistribution<T1,T2,T3> rv)	Calculates the discrete Shannon joint mutual information, using histogram probability estimators.
static <T1, T2, T3> double	WeightedInformationTheory.jointMI(TripleDistribution<T1,T2,T3> rv, Map<?,Double> weights, WeightedInformationTheory.VariableSelector vs)	Calculates the discrete weighted joint mutual information, using histogram probability estimators.

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

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

Modifier and Type	Method	Description
static <T1, T2, T3> TripleDistribution<T1,T2,T3>	TripleDistribution.constructFromLists(List<T1> first, List<T2> second, List<T3> third)	Constructs a TripleDistribution from three lists of the same length.
static <T1, T2, T3> TripleDistribution<T1,T2,T3>	TripleDistribution.constructFromMap(Map<CachedTriple<T1,T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount)	Constructs a TripleDistribution by marginalising the supplied joint distribution.
static <T1, T2, T3> TripleDistribution<T1,T2,T3>	TripleDistribution.constructFromMap(Map<CachedTriple<T1,T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount, int abSize, int acSize, int bcSize, int aSize, int bSize, int cSize)	Constructs a TripleDistribution by marginalising the supplied joint distribution.
static <T1, T2, T3> TripleDistribution<T1,T2,T3>	TripleDistribution.constructFromMap(Map<CachedTriple<T1,T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount, Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> abCount, Map<CachedPair<T1,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong> acCount, Map<CachedPair<T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong> bcCount, Map<T1,com.oracle.labs.mlrg.olcut.util.MutableLong> aCount, Map<T2,com.oracle.labs.mlrg.olcut.util.MutableLong> bCount, Map<T3,com.oracle.labs.mlrg.olcut.util.MutableLong> cCount)	Constructs a TripleDistribution by marginalising the supplied joint distribution.