cond_gauss_inf_engine.m

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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);
%engine.sub_engine = gaussian_inf_engine(bnet);

% 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 = [];

engine = class(engine, 'cond_gauss_inf_engine', inf_engine(bnet));