Mercurial > hg > camir-aes2014
comparison core/magnatagatune/sim_from_comparison_attach_weights.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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children |
comparison
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-1:000000000000 | 0:e9a9cd732c1e |
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1 function sim_from_comparison_attach_weights(filen) | |
2 | |
3 global comparison; | |
4 global comparison_ids; | |
5 % load data from mat file | |
6 load(filen); | |
7 | |
8 % --- | |
9 % get the similarity multigraph and remove cycles | |
10 % --- | |
11 cprint(2, 'creating graph') | |
12 Gm = ClipSimGraphMulti(comparison, comparison_ids); | |
13 Gm.remove_cycles_length2; | |
14 | |
15 nTestSets = size(partBinTst, 2); % num cv bins | |
16 ntrainsizes = size(partBinTrn, 2); % num increases of training | |
17 | |
18 % --- | |
19 % test sets | |
20 % --- | |
21 cprint(2, 'doing test sets') | |
22 | |
23 % for all validations | |
24 for k = 1:size(partBinTst, 2); | |
25 | |
26 % for each constraint tiplet | |
27 for i = 1:size(partBinTst{k},1) | |
28 | |
29 % get weight for this edge from graph | |
30 [weight, ~, ~] = Gm.edge(partBinTst{k}(i,1), partBinTst{k}(i,2),... | |
31 partBinTst{k}(i,3)); | |
32 | |
33 if isempty(weight) || weight == 0 | |
34 error 'inconsistent similarity data'; | |
35 end | |
36 | |
37 % save into same data structure | |
38 partBinTst{k}(i,4) = weight; | |
39 end | |
40 end | |
41 | |
42 % --- | |
43 % train sets | |
44 % --- | |
45 | |
46 cprint(2, 'doing train sets') | |
47 % for all validations | |
48 for k = 1:size(partBinTrn, 1); | |
49 | |
50 % for all training sizes | |
51 for m = 1:size(partBinTrn, 2); | |
52 | |
53 % for each constraint tiplet | |
54 for i = 1:size(partBinTrn{k,m},1) | |
55 | |
56 % get weight for this edge from graph | |
57 [weight, ~, ~] = Gm.edge(partBinTrn{k,m}(i,1), partBinTrn{k,m}(i,2),... | |
58 partBinTrn{k,m}(i,3)); | |
59 | |
60 if isempty(weight) || weight == 0 | |
61 error 'inconsistent similarity data'; | |
62 end | |
63 | |
64 % save into same data structure | |
65 partBinTrn{k,m}(i,4) = weight; | |
66 end | |
67 end | |
68 end | |
69 | |
70 % --- | |
71 % Notrain sets | |
72 % --- | |
73 cprint(2, 'doing Notrain sets') | |
74 % for all validations | |
75 for k = 1:size(partBinNoTrn, 1); | |
76 | |
77 % for all training sizes | |
78 for m = 1:size(partBinNoTrn, 2); | |
79 | |
80 % for each constraint tiplet | |
81 for i = 1:size(partBinNoTrn{k,m},1) | |
82 | |
83 % get weight for this edge from graph | |
84 [weight, ~, ~] = Gm.edge(partBinNoTrn{k,m}(i,1), partBinNoTrn{k,m}(i,2),... | |
85 partBinNoTrn{k,m}(i,3)); | |
86 | |
87 if isempty(weight) || weight == 0 | |
88 error 'inconsistent similarity data'; | |
89 end | |
90 % save into same data structure | |
91 partBinNoTrn{k,m}(i,4) = weight; | |
92 end | |
93 end | |
94 end | |
95 | |
96 % save results to mat file | |
97 save(sprintf('%s_weighted.mat',filen), 'partBinTst', 'partBinTrn', 'partBinNoTrn'); |