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

Packages that use CachedTriple

Package	Description
org.tribuo.util.infotheory.example	This package provides demos for the information theoretic function classes in org.tribuo.util.infotheory.
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 CachedTriple in org.tribuo.util.infotheory.example

Methods in org.tribuo.util.infotheory.example that return CachedTriple

Modifier and Type	Method	Description
static CachedTriple<List<Integer>,List<Integer>,List<Integer>>	InformationTheoryDemo.generateCorrelated(int length, int alphabetSize, double xyCorrelation, double xzCorrelation)	These correlations don't map to mutual information values, as if xyDraw is above xyCorrelation then the draw is completely random.
static CachedTriple<List<Integer>,List<Integer>,List<Integer>>	InformationTheoryDemo.generateXOR(int length)	Generates a sample from a three variable XOR function.

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

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

Modifier and Type	Method	Description
Map<CachedTriple<T1,T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong>	TripleDistribution.getJointCount()	The joint distribution over the three variables.
Map<CachedTriple<T1,T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getJointCount()	The joint distribution over the three variables.

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

Modifier and Type	Method	Description
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.
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 CachedTriple

Modifier	Constructor	Description
	TripleDistribution(long count, 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 triple distribution from the supplied distributions.
	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.