Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data.
In this paper, we introduce pebl, a Python library and application for learning Bayesian network structure from data and prior knowledge that provides features unmatched by alternative software packages: the ability to use interventional data, flexible specification of structural priors, modeling with hidden variables and exploitation of parallel processing.
Shah
Abhik
A
Department of Chemical Engineering, 3320 G.G. Brown, Ann Arbor, MI 48103, USA.
Woolf
Peter
P