graphs.BayesNet.BayesNet Class Reference

Inheritance diagram for graphs.BayesNet.BayesNet:

Collaboration diagram for graphs.BayesNet.BayesNet:

Public Member Functions
def	__init__ (self, nodes)
def	get_vtx_to_state_names (self)
def	write_bif (self, path, is_quantum)
Public Member Functions inherited from graphs.Dag.Dag
def	__init__ (self, nodes)
def	detect_two_node_cycle (self)
def	topological_sort (self)
def	undirect (self)
def	add_nodes (self, nodes)
def	get_nx_graph (self)
Public Member Functions inherited from graphs.Graph.Graph
def	__init__ (self, nodes)
def	add_nodes (self, nodes)
def	has_node (self, node)
def	contains (self, nodes)
def	unmark_all_nodes (self)
def	get_node_named (self, name)
def	get_node_with_id_num (self, id_num)
def	get_node_with_topo_index (self, topo_index)
def	get_nx_graph (self)
def	draw (self, algo_num, kwargs)
def	write_dot (self, path)
def	read_dot (cls, path)

Static Public Member Functions
def	new_from_nx_graph (nx_graph)
def	read_bif (path, is_quantum)
Static Public Member Functions inherited from graphs.Dag.Dag
def	new_from_nx_graph (nx_graph)
Static Public Member Functions inherited from graphs.Graph.Graph
def	new_from_nx_graph (nx_graph)

Additional Inherited Members
Public Attributes inherited from graphs.Dag.Dag
	num_nodes
	nodes
Public Attributes inherited from graphs.Graph.Graph
	nodes

Detailed Description

This class embodies a CBnet or QBnet.  It's a DAG (Direct
Acyclic Graph) whose nodes are of type BayesNode.

Attributes
----------
nodes : set[BayesNode]
num_of_nodes : int

Constructor & Destructor Documentation

def graphs.BayesNet.BayesNet.__init__	(		self,
			nodes
	)

Constructor.

Parameters
----------
nodes : set[BayesNode]

Returns
-------

Member Function Documentation

def graphs.BayesNet.BayesNet.get_vtx_to_state_names

(

self

)

Returns a dictionary mapping node names to the list of their state
names

Returns
-------
dict[str, list[str]]

def graphs.BayesNet.BayesNet.new_from_nx_graph (   nx_graph )

static

Returns a BayesNet constructed from nx_graph.

Parameters
----------
nx_graph : networkx Graph

Returns
-------
BayesNet

def graphs.BayesNet.BayesNet.read_bif (   path,   is_quantum  )

static

Reads a bif file using our stand-alone class Qubifer and returns a
BayesNet. bif and dot files complement each other. bif: graphical
info No, pot info Yes. dot: graphical info Yes, pot info No. By pots
I mean potentials, the transition matrices of the nodes. (aka CPTs,
etc.)

Parameters
----------
path : str
is_quantum : bool

Returns
-------
BayesNet

def graphs.BayesNet.BayesNet.write_bif	(		self,
			path,
			is_quantum
	)

Writes a bif file using Qubifer class. Complements read_bif().

Parameters
----------
path : str
is_quantum : bool

Returns
-------

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

• graphs/BayesNet.py