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## Uses of Package
cc.mallet.grmm.inference

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

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.inference
AbstractBeliefPropagation Abstract base class for umplementations of belief propagation for general factor graphs.
AbstractBeliefPropagation.AbstractMessageStrategy
AbstractBeliefPropagation.MessageStrategy
AbstractInferencer Abstract base class for inferencers.
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.
JunctionTree Datastructure for a junction tree.
JunctionTreeInferencer Does inference in general graphical models using the Hugin junction tree algorithm.
LoopyBP The loopy belief propagation algorithm for approximate inference in general graphical models.
MessageArray Efficiently manages a array of messages in a factor graph from variables to factors and vice versa.
MessageArray.Iterator
MessageArray.ToMsgsIterator
RandomGraphs.FactorGenerator
ResidualBP A dynamic BP schedule where The loopy belief propagation algorithm for approximate inference in general graphical models.
Sampler Interface for methods from sampling the distribution given by a graphical model.
TreeBP Implements the tree-based schedule of belief propagation for exact inference in trees.
TRP Implementation of Wainwright's TRP schedule for loopy BP in general graphical models.
TRP.TerminationCondition
TRP.TreeFactory Interface for tree-generation strategies for TRP.
TRP.TreeListFactory Generates spanning trees cyclically from a predefined collection.

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.inference.gbp
AbstractInferencer Abstract base class for inferencers.
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.learning
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.learning.extract
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.types
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.

Classes in cc.mallet.grmm.inference used by cc.mallet.grmm.util
Inferencer Interface implemented by all inferencers, which are algorithms for computing (perhaps approximately) marginal distributions over nodes in the model.

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