Bayesian Networks in Python

You will be given a Bayesian network which may contain several decision nodes and a utility node. There are two types of tasks: 1) Use variable elimination or enumeration to calculate specific joint probabilities, marginal probabilities, or conditional probabilities, when there is either no decision node, or the decision node has a set value (for conditional probabilities). 2) Calculate the expected utility or maximum expected utility, when there are one or more unset decision nodes.