# Also the terms Node, DiscreteDistribution, ConditionalProbabilityTable, distribution, BayesianNetwork(), add_edge, bake are not being recognised.
from pomegranate import \*
# 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()
[ code screenshot ](https://i.stack.imgur.com/j7oTn.png)
这是CS50课程的一个程序。请有人解释为什么它不能在我的系统上运行。
https://learning.edx.org/course/course-v1:HarvardX+CS50AI+1T2020/block-v1:HarvardX+CS50AI+1T2020+type@sequential+block@c62f675bf7f94f0e91b408cacda56451/block-v1:HarvardX+CS50AI+1T2020+type@vertical+block@1bf36eea064644718f0c5d4f44fc3e29?_gl=1%2A1jbevuj%2A_ga%2AOTI5MTM1MzM4LjE2NjY0MzEzMDI.%2A_ga_D3KS4KMDT0%2AMTY4Nzg4Njc2Ny4xMC4wLjE2ODc4ODY3NjcuNjAuMC4w
1条答案
按热度按时间tyu7yeag1#
试试看
类Node、DiscreteDistribution、ConditionalProbabilityTable和BayesianNetwork从石榴模块正确导入。此外,
add_states()
和add_edge()
方法用于定义网络结构。在运行代码之前,请确保您的环境中安装了石榴库。