📄 marginal_nodes.m
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function marginal = marginal_nodes(engine, query, add_ev)% MARGINAL_NODES Compute the marginal on the specified query nodes (stab_cond_gauss)% marginal = marginal_nodes(engine, query, add_ev)%% 'query' must be a singleton set.% add_ev is an optional argument; if 1, we will "inflate" the marginal of observed nodes% to their original size, adding 0s to the positions which contradict the evidenceif nargin < 3, add_ev = 0; endif isempty(engine.evidence) hquery = query; else hquery = []; for i = query if isempty(engine.evidence{i}) hquery = [hquery i]; end endendbnet = bnet_from_engine(engine);nclq = length(engine.cliques);clique = 0;for i = 1:nclq if mysubset(hquery, engine.cliques{i}) pot = struct(engine.clpot{i}); %if mysubset(hquery, pot.cheaddom) | mysubset(hquery, pot.ddom) if mysubset(hquery, pot.domain) clique = i; break; end endendif isempty(hquery) %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % If all requested variables are observed, no query is necessary % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% marginal.mu = []; marginal.Sigma = []; marginal.T = 1.0; marginal.domain = query;else if clique == 0 marginal = marginal_difclq_nodes(engine, hquery); else marginal = marginal_singleclq_nodes(engine, clique, hquery); end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Change the format of output, so that it is identical to the % % format obtained by the same request for the junction-tree % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% marginal.domain = query; bnet = bnet_from_engine(engine); dquery = myintersect(bnet.dnodes,hquery); ns = bnet.node_sizes(dquery); if length(ns) == 0 marginal.T = 1; else if length(ns) == 1 ns = [1 ns]; end marginal.T = reshape(marginal.T,ns); endendif add_ev bnet = bnet_from_engine(engine); %marginal = add_ev_to_dmarginal(marginal, engine.evidence, bnet.node_sizes); marginal = add_evidence_to_gmarginal(marginal, engine.evidence, bnet.node_sizes, bnet.cnodes);end
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