Uses of Class
org.drools.beliefs.bayes.BayesVariable

Packages that use BayesVariable

org.drools.beliefs.bayes

Uses of BayesVariable in org.drools.beliefs.bayes

Methods in org.drools.beliefs.bayes that return BayesVariable

BayesVariable	BayesVariableState.getVariable()
BayesVariable	BayesLikelyhood.getVariable()

Methods in org.drools.beliefs.bayes that return types with arguments of type BayesVariable

List<BayesVariable>	JunctionTreeClique.getFamily()
Map<String,BayesVariable>	BayesInstance.getFieldNames()
Graph<BayesVariable>	JunctionTreeBuilder.getGraph()
Graph<BayesVariable>	JunctionTree.getGraph()
List<BayesVariable>	JunctionTreeSeparator.getValues()
List<BayesVariable>	JunctionTreeClique.getValues()
Map<String,BayesVariable>	BayesInstance.getVariables()

Methods in org.drools.beliefs.bayes with parameters of type BayesVariable

void	JunctionTreeClique.addToFamily(BayesVariable var)
static int[]	PotentialMultiplier.createIndexMultipliers(BayesVariable[] vars, int numberOfStates)
static int	PotentialMultiplier.createNumberOfStates(BayesVariable[] vars)
static int[]	PotentialMultiplier.createSubsetVarPos(BayesVariable[] vars, BayesVariable[] subset)
static int[]	PotentialMultiplier.createSubsetVarPos(BayesVariable[] vars, BayesVariable[] subset)
void	JunctionTree.multipleVarNodePotential(GraphNode<BayesVariable> varNode, double[] potentials, BayesVariable[] vars, int[] multipliers)
void	BayesInstance.setDecided(BayesVariable var, boolean bool)
void	BayesInstance.setLikelyhood(BayesVariable var, double[] distribution)
void	BayesInstance.unsetLikelyhood(BayesVariable var)

Method parameters in org.drools.beliefs.bayes with type arguments of type BayesVariable

static int	PotentialMultiplier.createNumberOfStates(List<BayesVariable> vars)
void	JunctionTreeBuilder.moralize(GraphNode<BayesVariable> v, GraphNode v1)
void	JunctionTree.multipleVarNodePotential(GraphNode<BayesVariable> varNode, double[] potentials, BayesVariable[] vars, int[] multipliers)

Constructors in org.drools.beliefs.bayes with parameters of type BayesVariable

BayesAbsorption(int[] srcVarPos, double[] oldSrcPotentials, double[] srcPotentials, int[] srcVarPosMultipliers, BayesVariable[] trgVars, double[] trgPotentials)

BayesProjection(BayesVariable[] srcVars, double[] srcPotentials, int[] trgVarPos, int[] trgVarPosMultipliers, double[] trgPotentials)

BayesVariableState(BayesVariable variable, double[] distribution)

Marginalizer(BayesVariable[] srcVars, double[] srcPotentials, BayesVariable var, double[] varDistribution)

Marginalizer(BayesVariable[] srcVars, double[] srcPotentials, BayesVariable var, double[] varDistribution)

PotentialMultiplier(double[][] varPotential, int varPos, int[] parentVarPos, int[] parentIndexMultipliers, BayesVariable[] vars, int[] multipliers, double[] trgPotentials)

Constructor parameters in org.drools.beliefs.bayes with type arguments of type BayesVariable

BayesLikelyhood(Graph graph, JunctionTreeClique jtNode, GraphNode<BayesVariable> varNode, double[] distribution)

JunctionTree(Graph<BayesVariable> graph, JunctionTreeClique root, JunctionTreeClique[] jtNodes, JunctionTreeSeparator[] jtSeps)

JunctionTree(Graph<BayesVariable> graph, JunctionTreeClique root, JunctionTreeClique[] jtNodes, JunctionTreeSeparator[] jtSeps, boolean init)

JunctionTreeBuilder(Graph<BayesVariable> graph)

JunctionTreeClique(int id, Graph<BayesVariable> graph, OpenBitSet bitSet)

JunctionTreeSeparator(int id, JunctionTreeClique parent, JunctionTreeClique child, OpenBitSet bitSet, Graph<BayesVariable> graph)

SeparatorSet(OpenBitSet clique1, int id1, OpenBitSet clique2, int id2, Graph<BayesVariable> graph)