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

Packages that use CachedPair

Package	Description
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 CachedPair in org.tribuo.util.infotheory.impl

Fields in org.tribuo.util.infotheory.impl with type parameters of type CachedPair

Modifier and Type	Field	Description
final Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong>	PairDistribution.jointCounts	The joint distribution.

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

Modifier and Type	Method	Description
CachedPair<T1,T2>	CachedTriple.getAB()	Gets the pair of the first and second elements.
CachedPair<T1,T3>	CachedTriple.getAC()	Gets the pair of the first and third elements.
CachedPair<T2,T3>	CachedTriple.getBC()	Gets the pair of the second and third elements.

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

Modifier and Type	Method	Description
Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong>	TripleDistribution.getABCount()	The joint distribution over the first and second variables.
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedTripleDistribution.getABCount()	The joint distribution over the first and second variables.
Map<CachedPair<T1,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong>	TripleDistribution.getACCount()	The joint distribution over the first and third variables.
Map<CachedPair<T1,T3>,WeightCountTuple>	WeightedTripleDistribution.getACCount()	The joint distribution over the first and third variables.
Map<CachedPair<T2,T3>,com.oracle.labs.mlrg.olcut.util.MutableLong>	TripleDistribution.getBCCount()	The joint distribution over the second and third variables.
Map<CachedPair<T2,T3>,WeightCountTuple>	WeightedTripleDistribution.getBCCount()	The joint distribution over the second and third variables.
Map<CachedPair<T1,T2>,WeightCountTuple>	WeightedPairDistribution.getJointCounts()	Gets the joint distribution.
static <T1, T2> ArrayList<CachedPair<T1,T2>>	CachedPair.zipArraysCached(ArrayList<T1> first, ArrayList<T2> second)	Takes two arrays and zips them together into an array of CachedPairs.

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

Modifier and Type	Method	Description
static <T1, T2> PairDistribution<T1,T2>	PairDistribution.constructFromMap(Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount)	Constructs a distribution from a joint count.
static <T1, T2> PairDistribution<T1,T2>	PairDistribution.constructFromMap(Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount, int aSize, int bSize)	Constructs a distribution from a joint count.
static <T1, T2> PairDistribution<T1,T2>	PairDistribution.constructFromMap(Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCount, Map<T1,com.oracle.labs.mlrg.olcut.util.MutableLong> aCount, Map<T2,com.oracle.labs.mlrg.olcut.util.MutableLong> bCount)	Constructs a joint distribution from the counts.
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.

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

Modifier	Constructor	Description
	PairDistribution(long count, LinkedHashMap<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCounts, LinkedHashMap<T1,com.oracle.labs.mlrg.olcut.util.MutableLong> firstCount, LinkedHashMap<T2,com.oracle.labs.mlrg.olcut.util.MutableLong> secondCount)	Constructs a pair distribution.
	PairDistribution(long count, Map<CachedPair<T1,T2>,com.oracle.labs.mlrg.olcut.util.MutableLong> jointCounts, Map<T1,com.oracle.labs.mlrg.olcut.util.MutableLong> firstCount, Map<T2,com.oracle.labs.mlrg.olcut.util.MutableLong> secondCount)	Constructs a pair distribution.
	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.