Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_CPD/Old/bayesian_score_CPD.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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function score = bayesian_score_CPD(CPD, local_ev) % bayesian_score_CPD Compute the Bayesian score of a tabular CPD using uniform Dirichlet prior % score = bayesian_score_CPD(CPD, local_ev) % % The Bayesian score is the log marginal likelihood if iscell(local_ev) data = num2cell(local_ev); else data = local_ev; end score = dirichlet_score_family(compute_counts(data, CPD.sizes));