Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data.

Abhik Shah, PETER J. WOOLF · PubMed · 2009

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.

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