Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data.
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- Record sourced from PubMed, PMID 20161541.
- Also identified by PMC identifier 2804996.
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Abstract
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.