diff toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_CPD/Old/bayesian_score_CPD.m @ 0:e9a9cd732c1e tip

first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
parents
children
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--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/CPDs/@tabular_CPD/Old/bayesian_score_CPD.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,13 @@
+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));