Uses of Enum Class
org.tribuo.util.infotheory.WeightedInformationTheory.VariableSelector

Packages that use WeightedInformationTheory.VariableSelector

Package	Description
org.tribuo.util.infotheory	This package provides static classes of information theoretic functions.

Uses of WeightedInformationTheory.VariableSelector in org.tribuo.util.infotheory

Subclasses with type arguments of type WeightedInformationTheory.VariableSelector in org.tribuo.util.infotheory

Modifier and Type	Class	Description
static enum	WeightedInformationTheory.VariableSelector	Chooses which variable is the one with associated weights.

Methods in org.tribuo.util.infotheory that return WeightedInformationTheory.VariableSelector

Modifier and Type	Method	Description
static WeightedInformationTheory.VariableSelector	WeightedInformationTheory.VariableSelector.valueOf(String name)	Returns the enum constant of this class with the specified name.
static WeightedInformationTheory.VariableSelector[]	WeightedInformationTheory.VariableSelector.values()	Returns an array containing the constants of this enum class, in the order they are declared.

Methods in org.tribuo.util.infotheory with parameters of type WeightedInformationTheory.VariableSelector

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