bayesian-networks-rey20074 0.1.5

Una libreria para construir redes bayesianas y realizar inferencia probabilística

Redes Bayesianas

Una librería para construir redes bayesianas y realizar inferencia probabilística.

Instalación

Con el manejador de paquetes pip:

• pip install bayesian-networks-rey20074

Uso

from src.bayesian_networks_rey20074.BayesianNetwork import BayesianNetwork, Node

node_b = Node("b", 0.001)

node_e = Node("e", 0.002)

node_a = Node("a", multiple_parents=True)
node_a.add_connection_multiple_parents({"b": True, "e": True}, 0.95)
node_a.add_connection_multiple_parents({"b": True, "e": False}, 0.94)
node_a.add_connection_multiple_parents({"b": False, "e": True}, 0.29)
node_a.add_connection_multiple_parents({"b": False, "e": False}, 0.001)
node_a.add_connection("j", 0.9, True)
node_a.add_connection("j", 0.05, False)
node_a.add_connection("m", 0.7, True)
node_a.add_connection("m", 0.01, False)

node_j = Node("j")
node_m = Node("m")


network = BayesianNetwork()
network.add_node(node_a)
network.add_node(node_b)
network.add_node(node_e)
network.add_node(node_j)
network.add_node(node_m)
print('## GET PROBABILISTIC INFERENCE')
print(network.probabilistic_inference("m"))

print('\n## GET COMPACT REPRESENTATION')
representation = network.get_compact_representation()
print(representation)

print('## GET ELEMENTS USED FOR ALGORITHM')
collections = network.get_all_representations()
for x in collections:
    print(x)

print('\n## GET IS FULLY DESCRIBED')
desc = network.is_fully_described()

if (desc == True):
    print("Red Bayesiana Descriptiva")
else:
    print("Red Bayesiana No Descriptiva")

API

Se incluyen las siguientes clases

Clase Node

• init(self, title: str, probability_of_success: float = None, multiple_parents: bool = False)
• add_connection(self, next_node_title: str, probability_of_success: float, parent_was_succesful: bool)
• get_children(self)
• get_children_title(self)
• delete_connection(self, node_title: str)
• delete_connection(self, node_title: str, parent_was_succesful: bool)
• add_connection_multiple_parents(self, parent_nodes: dict, probability_of_success: float)
• edit_connection(self, node_title: str, probability_of_success: float)

Clase BayesianNetwork

• init(self)
• get_nodes(self)
• get_node(self, node_title: str)
• delete_node(self, node_title: str)
• add_node(self, node: Node)
• replace_node(self, node_title: str, new_node: Node)
• get_parent(self, child_node_title: str)
• get_parents(self, child_node_title: str)
• one_parent_probabilistic_inference(self, node_title: str
• multiply_list(myList: list)
• multiple_parents_probabilistic_inference(self, node_title: str)
• probabilistic_inference(self, node_title: str)
• get_compact_representation(network)
• is_fully_described(self)