wolffd@0: function [time, engine] = cmp_online_inference(bnet, engine, T, varargin)
wolffd@0: % CMP_ONLINE_INFERENCE Compare several online inference engines on a DBN
wolffd@0: % function [time, engine] = cmp_online_inference(bnet, engine, T, ...)
wolffd@0: %
wolffd@0: % engine{i} is the i'th inference engine.
wolffd@0: % time(e) = elapsed time for doing inference with engine e
wolffd@0: %
wolffd@0: % The list below gives optional arguments [default value in brackets].
wolffd@0: %
wolffd@0: % exact - specifies which engines do exact inference [ 1:length(engine) ]
wolffd@0: % singletons_only - if 1, we only call marginal_nodes, else this  and marginal_family [0]
wolffd@0: % check_ll - 1 means we check that the log-likelihoods are correct [1]
wolffd@0: 
wolffd@0: % set default params
wolffd@0: exact = 1:length(engine);
wolffd@0: singletons_only = 0;
wolffd@0: check_ll = 1;
wolffd@0: onodes = bnet.observed;
wolffd@0: 
wolffd@0: args = varargin;
wolffd@0: nargs = length(args);
wolffd@0: for i=1:2:nargs
wolffd@0:   switch args{i},
wolffd@0:    case 'exact', exact = args{i+1};
wolffd@0:    case 'singletons_only', singletons_only = args{i+1};
wolffd@0:    case 'check_ll', check_ll = args{i+1};
wolffd@0:    case 'observed', onodes = args{i+1};
wolffd@0:    otherwise,
wolffd@0:     error(['unrecognized argument ' args{i}])
wolffd@0:   end
wolffd@0: end
wolffd@0: 
wolffd@0: E = length(engine);
wolffd@0: ref = exact(1); % reference
wolffd@0: cmp = mysetdiff(exact, ref);
wolffd@0: 
wolffd@0: ss = length(bnet.intra);
wolffd@0: hnodes = mysetdiff(1:ss, onodes);
wolffd@0: ev = sample_dbn(bnet, 'length', T);
wolffd@0: evidence = cell(ss,T);
wolffd@0: evidence(onodes,:) = ev(onodes, :);
wolffd@0: 
wolffd@0: time = zeros(1,E);
wolffd@0: for t=1:T
wolffd@0:   for e=1:E
wolffd@0:     tic;
wolffd@0:     [engine{e}, ll(e)] = enter_evidence(engine{e}, evidence(:,t), t);
wolffd@0:     time(e)= time(e) + toc;
wolffd@0:   end
wolffd@0:   if check_ll
wolffd@0:     for e=cmp(:)'
wolffd@0:       if ~approxeq(ll(ref), ll(e))
wolffd@0: 	error(['engine ' num2str(e) ' has wrong ll'])
wolffd@0:       end
wolffd@0:     end
wolffd@0:   end
wolffd@0:   if ~singletons_only
wolffd@0:     check_marginals(engine, hnodes, exact, 0, t);
wolffd@0:   end
wolffd@0:   check_marginals(engine, hnodes, exact, 1, t);
wolffd@0: end
wolffd@0: 
wolffd@0: 
wolffd@0: %%%%%%%%%%
wolffd@0: 
wolffd@0: function check_marginals(engine, hnodes, exact, singletons, t)
wolffd@0: 
wolffd@0: bnet = bnet_from_engine(engine{1});
wolffd@0: N = length(bnet.intra);
wolffd@0: cnodes_bitv = zeros(1,N);
wolffd@0: cnodes_bitv(bnet.cnodes) = 1;
wolffd@0: ref = exact(1); % reference
wolffd@0: cmp = exact(2:end);
wolffd@0: E = length(engine);
wolffd@0: m = cell(1,E);
wolffd@0: 
wolffd@0: for n=1:N
wolffd@0:   %for n=hnodes(:)'
wolffd@0:   for e=1:E
wolffd@0:     if singletons
wolffd@0:       m{e} = marginal_nodes(engine{e}, n, t);
wolffd@0:     else
wolffd@0:       m{e} = marginal_family(engine{e}, n, t);
wolffd@0:     end
wolffd@0:   end
wolffd@0:   for e=cmp(:)'
wolffd@0:     assert(isequal(m{e}.domain, m{ref}.domain));
wolffd@0:     if cnodes_bitv(n) & isfield(m{e}, 'mu') & isfield(m{ref}, 'mu')
wolffd@0:       wrong = ~approxeq(m{ref}.mu, m{e}.mu) | ~approxeq(m{ref}.Sigma, m{e}.Sigma);
wolffd@0:     else
wolffd@0:       wrong = ~approxeq(m{ref}.T(:), m{e}.T(:));
wolffd@0:     end
wolffd@0:     if wrong
wolffd@0:       error(sprintf('engine %d is wrong; n=%d, t=%d, fam=%d', e, n, t, ~singletons))
wolffd@0:     end
wolffd@0:   end
wolffd@0: end