Daniel@0: function [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize) Daniel@0: % CMP_INFERENCE Compare several inference engines on a DBN Daniel@0: % [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize) Daniel@0: % Daniel@0: % engine{i} is the i'th inference engine. Daniel@0: % 'exact' specifies which engines do exact inference - Daniel@0: % we check that these all give the same results. Daniel@0: % 'T' is the length of the random sequence we generate. Daniel@0: % If filter=1, we do filtering, else smoothing (default: smoothing) Daniel@0: % If singletons=1, we compare marginal_nodes, else marginal_family (default: family) Daniel@0: % Daniel@0: % err(e,n,t) = sum_i | Pr_exact(X(n,t)=i) - Pr_e(X(n,t)=i) | Daniel@0: % where Pr_e = prob. according to engine e Daniel@0: % time(e) = elapsed time for doing inference with engine e Daniel@0: Daniel@0: err = []; Daniel@0: Daniel@0: if nargin < 5, filter = 0; end Daniel@0: if nargin < 6, singletons = 0; end Daniel@0: if nargin < 7, maximize = 0; end Daniel@0: Daniel@0: check_ll = 1; Daniel@0: Daniel@0: assert(~maximize); Daniel@0: Daniel@0: E = length(engine); Daniel@0: ref = exact(1); % reference Daniel@0: Daniel@0: ss = length(bnet.intra); Daniel@0: ev = sample_dbn(bnet, 'length', T); Daniel@0: evidence = cell(ss,T); Daniel@0: onodes = bnet.observed; Daniel@0: evidence(onodes,:) = ev(onodes, :); Daniel@0: Daniel@0: assert(~filter); Daniel@0: for i=1:E Daniel@0: tic; Daniel@0: %[engine{i}, ll(i)] = enter_evidence(engine{i}, evidence, 'maximize', maximize); Daniel@0: [engine{i}, ll(i)] = enter_evidence(engine{i}, evidence); Daniel@0: time(i)=toc; Daniel@0: fprintf('engine %d took %6.4f seconds\n', i, time(i)); Daniel@0: end Daniel@0: Daniel@0: cmp = mysetdiff(exact, ref); Daniel@0: if check_ll Daniel@0: for i=cmp(:)' Daniel@0: if ~approxeq(ll(ref), ll(i)) Daniel@0: error(['engine ' num2str(i) ' has wrong ll']) Daniel@0: end Daniel@0: end Daniel@0: end Daniel@0: ll Daniel@0: Daniel@0: hnodes = mysetdiff(1:ss, onodes); Daniel@0: m = cell(1,E); Daniel@0: for t=1:T Daniel@0: for n=hnodes(:)' Daniel@0: for e=1:E Daniel@0: if singletons Daniel@0: m{e} = marginal_nodes(engine{e}, n, t); Daniel@0: else Daniel@0: m{e} = marginal_family(engine{e}, n, t); Daniel@0: end Daniel@0: end Daniel@0: for e=1:E Daniel@0: assert(isequal(m{e}.domain, m{ref}.domain)); Daniel@0: end Daniel@0: for e=cmp(:)' Daniel@0: if ~approxeq(m{ref}.T(:), m{e}.T(:)) Daniel@0: str= sprintf('engine %d is wrong; n=%d, t=%d', e, n, t); Daniel@0: error(str) Daniel@0: end Daniel@0: end Daniel@0: end Daniel@0: end