Mercurial > hg > camir-aes2014
comparison toolboxes/FullBNT-1.0.7/bnt/examples/dynamic/Old/cmp_inference.m @ 0:e9a9cd732c1e tip
first hg version after svn
| author | wolffd | 
|---|---|
| date | Tue, 10 Feb 2015 15:05:51 +0000 | 
| parents | |
| children | 
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| -1:000000000000 | 0:e9a9cd732c1e | 
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| 1 function [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize) | |
| 2 % CMP_INFERENCE Compare several inference engines on a DBN | |
| 3 % [err, time, engine] = cmp_inference(bnet, engine, exact, T, filter, singletons, maximize) | |
| 4 % | |
| 5 % engine{i} is the i'th inference engine. | |
| 6 % 'exact' specifies which engines do exact inference - | |
| 7 % we check that these all give the same results. | |
| 8 % 'T' is the length of the random sequence we generate. | |
| 9 % If filter=1, we do filtering, else smoothing (default: smoothing) | |
| 10 % If singletons=1, we compare marginal_nodes, else marginal_family (default: family) | |
| 11 % | |
| 12 % err(e,n,t) = sum_i | Pr_exact(X(n,t)=i) - Pr_e(X(n,t)=i) | | |
| 13 % where Pr_e = prob. according to engine e | |
| 14 % time(e) = elapsed time for doing inference with engine e | |
| 15 | |
| 16 err = []; | |
| 17 | |
| 18 if nargin < 5, filter = 0; end | |
| 19 if nargin < 6, singletons = 0; end | |
| 20 if nargin < 7, maximize = 0; end | |
| 21 | |
| 22 check_ll = 1; | |
| 23 | |
| 24 assert(~maximize); | |
| 25 | |
| 26 E = length(engine); | |
| 27 ref = exact(1); % reference | |
| 28 | |
| 29 ss = length(bnet.intra); | |
| 30 ev = sample_dbn(bnet, 'length', T); | |
| 31 evidence = cell(ss,T); | |
| 32 onodes = bnet.observed; | |
| 33 evidence(onodes,:) = ev(onodes, :); | |
| 34 | |
| 35 assert(~filter); | |
| 36 for i=1:E | |
| 37 tic; | |
| 38 %[engine{i}, ll(i)] = enter_evidence(engine{i}, evidence, 'maximize', maximize); | |
| 39 [engine{i}, ll(i)] = enter_evidence(engine{i}, evidence); | |
| 40 time(i)=toc; | |
| 41 fprintf('engine %d took %6.4f seconds\n', i, time(i)); | |
| 42 end | |
| 43 | |
| 44 cmp = mysetdiff(exact, ref); | |
| 45 if check_ll | |
| 46 for i=cmp(:)' | |
| 47 if ~approxeq(ll(ref), ll(i)) | |
| 48 error(['engine ' num2str(i) ' has wrong ll']) | |
| 49 end | |
| 50 end | |
| 51 end | |
| 52 ll | |
| 53 | |
| 54 hnodes = mysetdiff(1:ss, onodes); | |
| 55 m = cell(1,E); | |
| 56 for t=1:T | |
| 57 for n=hnodes(:)' | |
| 58 for e=1:E | |
| 59 if singletons | |
| 60 m{e} = marginal_nodes(engine{e}, n, t); | |
| 61 else | |
| 62 m{e} = marginal_family(engine{e}, n, t); | |
| 63 end | |
| 64 end | |
| 65 for e=1:E | |
| 66 assert(isequal(m{e}.domain, m{ref}.domain)); | |
| 67 end | |
| 68 for e=cmp(:)' | |
| 69 if ~approxeq(m{ref}.T(:), m{e}.T(:)) | |
| 70 str= sprintf('engine %d is wrong; n=%d, t=%d', e, n, t); | |
| 71 error(str) | |
| 72 end | |
| 73 end | |
| 74 end | |
| 75 end | 
