def generate_BayesNet(root):
'''
Generate a BayesNet from a XMLBIF.
This method is used internally. Do not call it outside this class.
'''
network = BayesNet()
bif_nodes = root.getElementsByTagName("BIF")
if len(bif_nodes) != 1:
raise Exception("More than one or none <BIF>-tag in document.")
network_nodes = bif_nodes[0].getElementsByTagName("NETWORK")
if len(network_nodes) != 1:
raise Exception("More than one or none <NETWORK>-tag in document.")
variable_nodes = network_nodes[0].getElementsByTagName("VARIABLE")
for variable_node in variable_nodes:
name = "Unnamed node"
value_range = []
position = (0, 0)
for name_node in variable_node.getElementsByTagName("NAME"):
name = XMLBIF.get_node_text(name_node.childNodes)
break
for output_node in variable_node.getElementsByTagName("OUTCOME"):
value_range.append(XMLBIF.get_node_text(output_node.childNodes))
for position_node in variable_node.getElementsByTagName("PROPERTY"):
position = XMLBIF.get_node_position_from_text(position_node.childNodes)
break
new_node = DiscreteNode(name, value_range)
new_node.position = position
network.add_node(new_node)
definition_nodes = network_nodes[0].getElementsByTagName("DEFINITION")
for definition_node in definition_nodes:
node = None
for for_node in definition_node.getElementsByTagName("FOR"):
name = XMLBIF.get_node_text(for_node.childNodes)
node = network.get_node(name)
break
if node == None:
continue
for given_node in definition_node.getElementsByTagName("GIVEN"):
parent_name = XMLBIF.get_node_text(given_node.childNodes)
parent_node = network.get_node(parent_name)
node.announce_parent(parent_node)
for table_node in definition_node.getElementsByTagName("TABLE"):
table = XMLBIF.get_node_table_from_text(table_node.childNodes)
node.get_cpd().get_table().T.flat = table
break
return network
