wolffd@0: function [marginal, loglik] = marginal_nodes(engine, query)
wolffd@0: % MARGINAL_NODES Compute the marginal on the specified query nodes (enumerative_inf)
wolffd@0: % [marginal, loglik] = marginal_nodes(engine, query)
wolffd@0: 
wolffd@0: 
wolffd@0: if isempty(query) & nargout < 2
wolffd@0:   marginal.T = 1;
wolffd@0:   marginal.domain = [];
wolffd@0:   return;
wolffd@0: end
wolffd@0: 
wolffd@0: evidence = engine.evidence;
wolffd@0: bnet = bnet_from_engine(engine);
wolffd@0: assert(isempty(bnet.cnodes));
wolffd@0: n = length(bnet.dag);
wolffd@0: observed = ~isemptycell(evidence);
wolffd@0: vals = cat(1,evidence{observed});
wolffd@0: vals = vals(:)';
wolffd@0: ns = bnet.node_sizes;
wolffd@0: 
wolffd@0: sz = ns(query);
wolffd@0: T = 0*myones(sz);
wolffd@0: p = 0;
wolffd@0: for i=1:prod(ns)
wolffd@0:   inst = ind2subv(ns, i); % i'th instantiation
wolffd@0:   if isempty(vals) | inst(observed) == vals % agrees with evidence
wolffd@0:     prob = exp(log_lik_complete(bnet, num2cell(inst(:))));
wolffd@0:     p = p + prob;
wolffd@0:     v = inst(query);
wolffd@0:     j = subv2ind(sz, v);
wolffd@0:     T(j) = T(j) + prob;
wolffd@0:   end
wolffd@0: end
wolffd@0: 
wolffd@0: [T, lik] = normalise(T);
wolffd@0: lik = p;
wolffd@0: loglik = log(lik);
wolffd@0: 
wolffd@0: Tsmall = shrink_obs_dims_in_table(T, query, evidence);
wolffd@0: marginal.domain = query;
wolffd@0: marginal.T = Tsmall;