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 |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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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 |