Bayesian networks

Collaboration diagram for Bayesian networks:

Topics
	Inference Algorithms for Bayesian networks
	Serialization of Bayesian networks
	Generators
	Particles Algorithms
	Inference Algorithms for Markov random fields
	Serialization of Markov random fields

Classes
class	gum::EssentialGraph
	Class building the essential graph from a BN. More...
class	gum::MarkovBlanket
	Class building the markov Blanket from a BN and a nodeName. More...
class	gum::StructuralComparator
	A class for comparing graphs based on their structures. More...
class	gum::BayesNet< GUM_SCALAR >
	Class representing a Bayesian network. More...
class	gum::BayesNetFactory< GUM_SCALAR >
	A factory class to ease BayesNet construction. More...
class	gum::BayesNetFragment< GUM_SCALAR >
	Portion of a BN identified by the list of nodes and a BayesNet. More...
class	gum::IBayesNet< GUM_SCALAR >
	Class representing the minimal interface for Bayesian network with no numerical data. More...
class	gum::IBayesNetFactory
	IBayesNetFactory is the non-template interface for BayesNetFactory : many ways to build a BN do not depend on the specification of the GUM_SCALAR template argument (for instance for BN readers). More...
class	gum::BayesNetInference< GUM_SCALAR >
	<agrum/BN/inference/BayesNetInference.h> More...
class	gum::EvidenceInference< GUM_SCALAR >
	<agrum/BN/inference/evidenceInference.h> More...
class	gum::JointTargetedInference< GUM_SCALAR >
	<agrum/BN/inference/jointTargetedInference.h> More...
class	gum::MarginalTargetedInference< GUM_SCALAR >
	<agrum/BN/inference/marginalTargetedInference.h> More...

Detailed Description