I am trying out a code from CS50 Artificial Intelligence course involving the use of pomegranate (a probability model). This is the code I ran:
from pomegranate import *
class Node():
def __init__(self, distribution, name):
self.distribution = distribution
self.name = name
# Rain node has no parents
rain = Node(DiscreteDistribution({
"none": 0.7,
"light": 0.2,
"heavy": 0.1
}), name="rain")
# Track maintenance node is conditional on rain
maintenance = Node(ConditionalProbabilityTable([
["none", "yes", 0.4],
["none", "no", 0.6],
["light", "yes", 0.2],
["light", "no", 0.8],
["heavy", "yes", 0.1],
["heavy", "no", 0.9]
], [rain.distribution]), name="maintenance")
# Train node is conditional on rain and maintenance
train = Node(ConditionalProbabilityTable([
["none", "yes", "on time", 0.8],
["none", "yes", "delayed", 0.2],
["none", "no", "on time", 0.9],
["none", "no", "delayed", 0.1],
["light", "yes", "on time", 0.6],
["light", "yes", "delayed", 0.4],
["light", "no", "on time", 0.7],
["light", "no", "delayed", 0.3],
["heavy", "yes", "on time", 0.4],
["heavy", "yes", "delayed", 0.6],
["heavy", "no", "on time", 0.5],
["heavy", "no", "delayed", 0.5],
], [rain.distribution, maintenance.distribution]), name="train")
# Appointment node is conditional on train
appointment = Node(ConditionalProbabilityTable([
["on time", "attend", 0.9],
["on time", "miss", 0.1],
["delayed", "attend", 0.6],
["delayed", "miss", 0.4]
], [train.distribution]), name="appointment")
# Create a Bayesian Network and add states
model = BayesianNetwork()
model.add_states(rain, maintenance, train, appointment)
# Add edges connecting nodes
model.add_edge(rain, maintenance)
model.add_edge(rain, train)
model.add_edge(maintenance, train)
model.add_edge(train, appointment)
# Finalize model
model.bake()
What I tried:
- pip install pomegranate
- Updated pip to the latest version
What I expect:
- Able to run the code smoothly
What resulted:
Even though DiscreteDistribution was stated as one of the functions in pomegranate's official website Same goes to ConditionalProbabilityTable, and BayesianNetwork