bayesian_score_cpd.m

来自「麻省理工学院的人工智能工具箱,很珍贵,希望对大家有用!」· M 代码 · 共 14 行

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));