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## Uses of Interface
cc.mallet.grmm.types.VarSet

Packages that use VarSet
cc.mallet.grmm.inference |
cc.mallet.grmm.inference.gbp |
cc.mallet.grmm.learning |
cc.mallet.grmm.types |
cc.mallet.grmm.util |

Uses of VarSet in cc.mallet.grmm.inference

Methods in cc.mallet.grmm.inference that return VarSet
`static VarSet` | `Utils.defaultIntersection(VarSet v1, VarSet v2)`
`VarSet` | `JunctionTree.findCluster(Variable[] vars)` Returns a cluster in the tree that contains exactly the given variables, or null if no such cluster exists.
`VarSet` | `JunctionTree.findParentCluster(java.util.Collection vars)` Returns a cluster in the tree that contains all the vars in a collection.
`VarSet` | `JunctionTree.findParentCluster(Variable var)` Returns a cluster in the tree that contains var.

Methods in cc.mallet.grmm.inference with parameters of type VarSet
`static VarSet` | `Utils.defaultIntersection(VarSet v1, VarSet v2)`
`Factor` | `JunctionTree.getCPF(VarSet c)`
`java.util.Set` | `JunctionTree.getSepset(VarSet v1, VarSet v2)`
`Factor` | `JunctionTree.getSepsetPot(VarSet v1, VarSet v2)`
`Factor` | `AbstractBeliefPropagation.lookupMarginal(VarSet c)`
`Factor` | `AbstractInferencer.lookupMarginal(VarSet c)`
`Factor` | `Inferencer.lookupMarginal(VarSet varSet)` Returns the computed marginal of a given clique in a graph.
`Factor` | `JunctionTreeInferencer.lookupMarginal(VarSet varSet)`
`Factor` | `SamplingInferencer.lookupMarginal(VarSet varSet)`
`Factor` | `BruteForceInferencer.lookupMarginal(VarSet c)`
`Factor` | `RandomGraphs.FactorGenerator.nextFactor(VarSet vars)`
`Factor` | `RandomGraphs.UniformFactorGenerator.nextFactor(VarSet vars)`
`void` | `JunctionTree.setCPF(VarSet c, Factor pot)`

Uses of VarSet in cc.mallet.grmm.inference.gbp

Methods in cc.mallet.grmm.inference.gbp with parameters of type VarSet
`Factor` | `ParentChildGBP.lookupMarginal(VarSet varSet)`

Uses of VarSet in cc.mallet.grmm.learning

Classes in cc.mallet.grmm.learning that implement VarSet
`static class` | `ACRF.UnrolledVarSet` A clique in the unrolled graphical model (an instantiation of some Template).

Methods in cc.mallet.grmm.learning with parameters of type VarSet
`protected Assignment` | `ACRF.Template.computeAssignment(Assignment graphAssn, VarSet vs)`
`int` | `ACRF.UnrolledGraph.getIndex(VarSet vs)`

Uses of VarSet in cc.mallet.grmm.types

Classes in cc.mallet.grmm.types that implement VarSet
`class` | `BitVarSet` A clique that uses very little time and memory based on the flyweight pattern.
`class` | `HashVarSet` A clique is a collection of nodes in a graph that are all adjacent.
`class` | `ListVarSet` A clique that uses very little time and memory based on the flyweight pattern, in the same way as BitVarSet.
`class` | `UnmodifiableVarSet` Created: Dec 15, 2005

Fields in cc.mallet.grmm.types declared as VarSet
`protected VarSet` | `AbstractFactor.vars`

Methods in cc.mallet.grmm.types that return VarSet
`VarSet` | `FactorGraph.getAdjacentVertices(Variable var)` Returns all variables that are adjacent to a given variable in this graph---that is, the set of all variables that share a factor with this one.
`VarSet` | `CPT.getParents()`
`VarSet` | `UnmodifiableVarSet.intersection(VarSet c)`
`VarSet` | `ListVarSet.intersection(VarSet c)`
`VarSet` | `HashVarSet.intersection(VarSet c)` Returns the intersection of two cliques.
`VarSet` | `BitVarSet.intersection(VarSet c)`
`VarSet` | `VarSet.intersection(VarSet c)` Returns the intersection of two cliques.
`VarSet` | `CPT.varSet()`
`VarSet` | `Factor.varSet()` Returns set of variables in this potential.
`VarSet` | `AbstractTableFactor.varSet()` Returns set of variables in this potential.
`VarSet` | `FactorGraph.varSet()`
`VarSet` | `AbstractFactor.varSet()`

Methods in cc.mallet.grmm.types with parameters of type VarSet
`protected Factor` | `SkeletonFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `UniNormalFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `NormalFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `BoltzmannUnaryFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `ConstantFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `UniformFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `BinaryUnaryFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `PottsTableFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `Assignment.extractMaxInternal(VarSet varSet)`
`protected Factor` | `BoltzmannPairFactor.extractMaxInternal(VarSet varSet)`
`protected Factor` | `BetaFactor.extractMaxInternal(VarSet varSet)`
`protected abstract Factor` | `AbstractFactor.extractMaxInternal(VarSet varSet)`
`Factor` | `FactorGraph.factorOf(VarSet varSet)` Returns the factor in this graph, if any, whose domain is a given clique.
`VarSet` | `UnmodifiableVarSet.intersection(VarSet c)`
`VarSet` | `ListVarSet.intersection(VarSet c)`
`VarSet` | `HashVarSet.intersection(VarSet c)` Returns the intersection of two cliques.
`VarSet` | `BitVarSet.intersection(VarSet c)`
`VarSet` | `VarSet.intersection(VarSet c)` Returns the intersection of two cliques.
`gnu.trove.TIntObjectHashMap` | `Universe.lookupProjectionCache(VarSet varSet)`
`static TableFactor` | `TableFactor.makeFromLogValues(VarSet domain, double[] vals)`
`static Assignment` | `Assignment.makeFromSingleIndex(VarSet clique, int idx)`
`protected Factor` | `SkeletonFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `UniNormalFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `NormalFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `BoltzmannUnaryFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `ConstantFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `UniformFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `BinaryUnaryFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `PottsTableFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `Assignment.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `BoltzmannPairFactor.marginalizeInternal(VarSet varsToKeep)`
`protected Factor` | `BetaFactor.marginalizeInternal(VarSet varsToKeep)`
`protected abstract Factor` | `AbstractFactor.marginalizeInternal(VarSet varsToKeep)`
`Factor` | `CPT.marginalizeOut(VarSet varset)`
`Factor` | `Factor.marginalizeOut(VarSet varset)` Returns the marginal distribution attained by summing out the given set of variables.
`Factor` | `AbstractTableFactor.marginalizeOut(VarSet badVars)`
`Factor` | `FactorGraph.marginalizeOut(VarSet varset)`
`Factor` | `AbstractFactor.marginalizeOut(VarSet varset)`
`static Assignment` | `Assignment.restriction(Assignment assn, VarSet varSet)` Deprecated. marginalize
`protected void` | `AbstractFactor.setVarSet(VarSet vars)`

Constructors in cc.mallet.grmm.types with parameters of type VarSet
`AbstractFactor(VarSet vars)`
`AbstractTableFactor(VarSet allVars, double[] probs)` Creates a potential with the given variables and the given probabilities.
`AbstractTableFactor(VarSet allVars, Matrix probsIn)` Creates a potential with the given variables and the given probabilities.
`BitVarSet(VarSet vsOld)`
`ListVarSet(VarSet vsOld)`
`NormalFactor(VarSet vars, no.uib.cipr.matrix.Vector mean, no.uib.cipr.matrix.Matrix variance)`
`PottsTableFactor(VarSet xs, Variable alpha)`
`TableFactor(VarSet allVars, double[] probs)`
`TableFactor(VarSet allVars, Matrix probsIn)`
`UnmodifiableVarSet(VarSet subVarSet)`

Uses of VarSet in cc.mallet.grmm.util

Methods in cc.mallet.grmm.util with parameters of type VarSet
`static Assignment` | `ModelReader.readFromMatrix(VarSet vars, java.io.Reader in)`

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