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.