Mercurial > hg > camir-aes2014
view toolboxes/FullBNT-1.0.7/bnt/inference/static/@cond_gauss_inf_engine/cond_gauss_inf_engine.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
---|---|
date | Tue, 10 Feb 2015 15:05:51 +0000 |
parents | |
children |
line wrap: on
line source
function engine = cond_gauss_inf_engine(bnet) % COND_GAUSS_INF_ENGINE Conditional Gaussian inference engine % engine = cond_gauss_inf_engine(bnet) % % Enumerates all the discrete roots, and runs jtree on the remaining Gaussian nodes. dnodes = mysetdiff(1:length(bnet.dag), bnet.cnodes); %onodes = dnodes; % all the discrete ndoes will be observed %engine.sub_engine = jtree_inf_engine(bnet, onodes); bnet2 = bnet; bnet2.observed = dnodes; engine.sub_engine = jtree_inf_engine(bnet2); % This is where we will store the results between enter_evidence and marginal_nodes engine.T = []; engine.mu = []; engine.Sigma = []; engine.joint_dmarginal = []; engine.onodes = []; % needed for marginal_nodes engine.evidence = []; % needed for marginal_nodes add_ev engine = class(engine, 'cond_gauss_inf_engine', inf_engine(bnet));