Table of contents

Classes

• CBNSCharge A Charge consists of a Source Clique, Sink Clique and a Separator associated with these cliques
• CBNSClique This class is derived from CBNSCliqueBase class
• CBNSCliqueBase All the common attributes present in Clique and Separator are present in this class
• CBNSGraph This class is defined to create a Junction tree from the network
• CBNSJunctionTree This class stores the set of cliques, separators and charges generated by the CBNSGraph class and is used for Evidence propagation
• CBNSLink The Link data structure is used primarily to store the relation between the two nodes
• CBNSNetwork This class is the public interface class that should be used by the programmer to create the network
• CBNSNode This data structure holds the information of a Bayesian Node that has discrete states
• CBNSProbTable BNSProbTable class is used to store the Conditional probability table of the node
• CBNSProbVector CBNSProbVector class is derived from the STL vector
• CBNSRange This templatized class defines the ranges for the states of the nodes in Bayesian network
• CBNSSeparator This class defines the Separator data structure in the Bayesian network
• CBNSSet This is a container class derived from STL vector and is used to store the BNS objects
• CBNSState This templatized class holds the information regarding the state of a given node
• CBNSStateBase The CBNSState class is derived from this abstract class