PBNT.Inference.JunctionTreeDBNEngine Class Reference

Inheritance diagram for PBNT.Inference.JunctionTreeDBNEngine:

Collaboration diagram for PBNT.Inference.JunctionTreeDBNEngine:

Public Member Functions
def	__init__ (self, DBN)
Public Member Functions inherited from PBNT.Inference.JunctionTreeEngine
def	__init__ (self, bnet)
def	marginal (self, query)
	0 = no change, 1 = update, 2 = retract isChange = 0 changedNodes = [] for (node, value) in zip(nodes, values): Make sure node has actually changed if not self.evidence[node.index] == value: changedNodes += node Check if node is retracted if not self.evidence[node.index] == -1: isChange = 2 break else: isChange = 1 More...
def	global_propagation (self)
def	collect_evidence (self, prevClique, currentClique, sepset, isStart)
def	distribute_evidence (self, clique)
def	pass_message (self, fromClique, toClique, sepset)
def	project (self, clique, sepset)
def	absorb (self, clique, sepset, oldPotential)
def	build_join_tree (self, triangulatedGraph)
def	create_sepset_priority_queue (self, cliques)
Public Member Functions inherited from PBNT.Inference.InferenceEngine
def	__init__ (self, bnet)
def	marginal (self)

Public Attributes
	joinTree
Public Attributes inherited from PBNT.Inference.JunctionTreeEngine
	joinTree
Public Attributes inherited from PBNT.Inference.InferenceEngine
	bnet
	evidence

Detailed Description

JunctionTreeDBNEngine is the JunctionTreeEngine for dynamic networks.  It is far from done.  This is more of a place holder as of right now.

---

The documentation for this class was generated from the following file:

• PBNT/Inference.py