diff 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

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/toolboxes/FullBNT-1.0.7/bnt/inference/static/@cond_gauss_inf_engine/cond_gauss_inf_engine.m	Tue Feb 10 15:05:51 2015 +0000
@@ -0,0 +1,23 @@
+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));