Bayesian Network Inference Engine

A complete probabilistic inference engine for discrete Bayesian networks. It supports exact inference by enumeration over the topological ordering, and three approximate sampling methods for when exact inference gets too expensive. It also includes the experiment harness to compare them: each method runs at doubling sample counts, and its percent error against the exact answer and its run time are charted side by side.

Attention: Coursework, kept because it is a complete implementation rather than a skeleton. It has its own test suite.