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| file | alldai.h [code] |
| | Main libDAI header file. It #includes all other libDAI headers.
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| file | bbp.h [code] |
| | Defines class BBP, which implements Back-Belief-Propagation.
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| file | bipgraph.h [code] |
| | Defines the BipartiteGraph class, which represents a bipartite graph.
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| file | bp.h [code] |
| | Defines class BP, which implements (Loopy) Belief Propagation.
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| file | bp_dual.h [code] |
| | Defines class BP_dual, which is used primarily by BBP.
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| file | cbp.h [code] |
| | Defines class CBP, which implements Conditioned Belief Propagation.
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| file | clustergraph.h [code] |
| | Defines class ClusterGraph, which is used by JTree, TreeEP and HAK.
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| file | cobwebgraph.h [code] |
| | Defines class CobwebGraph, which implements a type of region graph used by GLC.
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| file | createfg.h [code] |
| | Provides functionality for input/output of data structures in various file formats.
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| file | dag.h [code] |
| | Defines the DAG class, which represents a directed acyclic graph.
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| file | dai_config.h [code] |
| | Allows the user to specify which algorithms will be built into libDAI.
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| file | daialg.h [code] |
| | Defines the general interface for inference methods in libDAI (classes InfAlg, DaiAlg<>, DaiAlgFG and DaiAlgRG).
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| file | decmap.h [code] |
| | Defines class DecMAP, which constructs a MAP state by decimation.
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| file | doc.h [code] |
| | Contains additional doxygen documentation.
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| file | emalg.h [code] |
| | Defines classes related to Expectation Maximization (EMAlg, ParameterEstimation, CondProbEstimation and SharedParameters)
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| file | enum.h [code] |
| | Defines the DAI_ENUM macro, which can be used to define an enum with additional functionality.
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| file | evidence.h [code] |
| | Defines class Evidence, which stores multiple observations of joint states of variables.
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| file | exactinf.h [code] |
| | Defines ExactInf class, which can be used for exact inference on small factor graphs.
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| file | exceptions.h [code] |
| | Defines the Exception class and macros for throwing exceptions and doing assertions.
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| file | factor.h [code] |
| | Defines TFactor<> and Factor classes which represent factors in probability distributions.
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| file | factorgraph.h [code] |
| | Defines the FactorGraph class, which represents factor graphs (e.g., Bayesian networks or Markov random fields)
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| file | fbp.h [code] |
| | Defines class FBP, which implements Fractional Belief Propagation.
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| file | gibbs.h [code] |
| | Defines class Gibbs, which implements Gibbs sampling.
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| file | glc.h [code] |
| | Defines classes GLC and Cobweb, which implement the "Generalized Loop Correction method".
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| file | graph.h [code] |
| | Defines the GraphAL class, which represents an undirected graph as an adjacency list.
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| file | hak.h [code] |
| | Defines class HAK, which implements a variant of Generalized Belief Propagation.
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| file | index.h [code] |
| | Defines the IndexFor, multifor, Permute and State classes, which all deal with indexing multi-dimensional arrays.
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| file | io.h [code] |
| | Provides functionality for input/output of data structures in various file formats.
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| file | jtree.h [code] |
| | Defines class JTree, which implements the junction tree algorithm.
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| file | lc.h [code] |
| | Defines class LC, which implements loop corrections for approximate inference.
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| file | mf.h [code] |
| | Defines class MF which implements the Mean Field algorithm.
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| file | mr.h [code] |
| | Defines class MR, which implements loop corrections as proposed by Montanari and Rizzo.
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| file | prob.h [code] |
| | Defines TProb<> and Prob classes which represent (probability) vectors (e.g., probability distributions of discrete random variables)
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| file | properties.h [code] |
| | Defines the Property and PropertySet classes, which are mainly used for managing parameters of inference algorithms.
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| file | regiongraph.h [code] |
| | Defines classes Region, FRegion and RegionGraph, which implement a particular subclass of region graphs.
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| file | smallset.h [code] |
| | Defines the SmallSet<> class, which represents a set (optimized for a small number of elements).
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| file | test1.cpp |
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| file | test2.cpp |
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| file | test3.cpp |
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| file | test4.cpp |
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| file | treeep.h [code] |
| | Defines class TreeEP, which implements Tree Expectation Propagation.
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| file | trwbp.h [code] |
| | Defines class TRWBP, which implements Tree-Reweighted Belief Propagation.
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| file | util.h [code] |
| | Defines general utility functions and adds an abstraction layer for platform-dependent functionality.
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| file | var.h [code] |
| | Defines class Var, which represents a discrete random variable.
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| file | varset.h [code] |
| | Defines the VarSet class, which represents a set of random variables.
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| file | weightedgraph.h [code] |
| | Defines some utility functions for (weighted) undirected graphs, trees and rooted trees.
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