wolffd@0: function [engine, ll, niter] = enter_soft_evidence(engine, local_evidence)
wolffd@0: % ENTER_SOFT_EVIDENCE Propagate evidence using belief propagation
wolffd@0: % [engine, ll, niter] = enter_soft_evidence(engine, local_evidence)
wolffd@0: %
wolffd@0: % local_evidence{i}(j) = Pr(observation at node i | S(i)=j)
wolffd@0: %
wolffd@0: % The log-likelihood is not computed; ll = 0.
wolffd@0: % niter contains the number of iterations used 
wolffd@0: 
wolffd@0: ll = 0;
wolffd@0: mrf2 = engine.mrf2;
wolffd@0: [bel, niter] = bp_mrf2(mrf2.adj_mat, mrf2.pot, local_evidence, ...
wolffd@0: 		       'max_iter', engine.max_iter, 'momentum', engine.momentum, ...
wolffd@0: 		       'tol', engine.tol, 'maximize', 0, 'verbose', engine.verbose);
wolffd@0: engine.bel = bel;