A Python implementation of graphical models

[摘要] ENGLISH ABSTRACT: In this thesis we present GrMPy, a library of classes and functions implemented in Python, designedfor implementing graphical models. GrMPy supports both undirected and directed models, exactand approximate probabilistic inference, and parameter estimation from complete and incompletedata. In this thesis we outline the necessary theory required to understand the tools implementedwithin GrMPy as well as provide pseudo-code algorithms that illustrate how GrMPy is implemented.

[发布机构] Stellenbosch University