def main(argv):
if (len(sys.argv) == 2 and sys.argv[1].isdigit()): # one arguement passed
num = int(sys.argv[1])
else:
print "Incorrect Usage: ./couldy_likelihood.py <number>"
exit(1)
network = BayesianNetwork() # Define the Bayesian Network
## Add nodes to the network ##
cloudy = network.add_node("cloudy")
sprinkler = network.add_node("sprinkler")
rain = network.add_node("rain")
wetgrass = network.add_node(("wetgrass"))
## Add connections between nodes ##
network.connect_nodes(cloudy.name, sprinkler.name)
network.connect_nodes(cloudy.name, rain.name)
network.connect_nodes(sprinkler.name, wetgrass.name)
network.connect_nodes(rain.name, wetgrass.name)
## Add conditional probability to nodes ##
network.init_probability_tables() # initialise the probability tables
network.add_probability("cloudy", {'probability': 0.5})
network.add_probability("sprinkler", {'cloudy': 1, 'probability': 0.1})
network.add_probability("sprinkler", {'cloudy': 0, 'probability': 0.5})
network.add_probability("rain", {'cloudy': 1, 'probability': 0.8})
network.add_probability("rain", {'cloudy': 0, 'probability': 0.2})
network.add_probability("wetgrass", {
'sprinkler': 1,
'rain': 1,
'probability': 0.99
})
network.add_probability("wetgrass", {
'sprinkler': 0,
'rain': 0,
'probability': 0.0
})
network.add_probability("wetgrass", {
'sprinkler': 0,
'rain': 1,
'probability': 0.9
})
network.add_probability("wetgrass", {
'sprinkler': 1,
'rain': 0,
'probability': 0.9
})
## Defining paramenters for likelihood weighting ##
evidence = {"sprinkler": 1, "wetgrass": 1}
outcome = {"cloudy": 1}
run_likelihood(network, evidence, outcome, num)
from src.node import Node
from src.bayesian_network import BayesianNetwork
network = BayesianNetwork()
#print network.get_nodes()
cloudy = network.add_node("cloudy")
sprinkler = network.add_node("sprinkler")
rain = network.add_node("rain")
wetgrass = network.add_node(("wetgrass"))
#cyclea = network.add_node("cyclea")
network.connect_nodes(cloudy.name, sprinkler.name)
network.connect_nodes(cloudy.name, rain.name)
network.connect_nodes(sprinkler.name, wetgrass.name)
network.connect_nodes(rain.name, wetgrass.name)
#network.connect_nodes(cyclea.name,wetgrass.name)
network.init_probability_tables()
network.add_probability("cloudy", {'probability': 0.5})
network.add_probability("sprinkler", {'cloudy': 1, 'probability': 0.1})
network.add_probability("sprinkler", {'cloudy': 0, 'probability': 0.5})
network.add_probability("rain", {'cloudy': 1, 'probability': 0.8})
network.add_probability("rain", {'cloudy': 0, 'probability': 0.2})
network.add_probability("wetgrass", {
'sprinkler': 1,
