Mercurial > hg > camir-aes2014
view 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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function sim_from_comparison_attach_weights(filen) global comparison; global comparison_ids; % load data from mat file load(filen); % --- % get the similarity multigraph and remove cycles % --- cprint(2, 'creating graph') Gm = ClipSimGraphMulti(comparison, comparison_ids); Gm.remove_cycles_length2; nTestSets = size(partBinTst, 2); % num cv bins ntrainsizes = size(partBinTrn, 2); % num increases of training % --- % test sets % --- cprint(2, 'doing test sets') % for all validations for k = 1:size(partBinTst, 2); % for each constraint tiplet for i = 1:size(partBinTst{k},1) % get weight for this edge from graph [weight, ~, ~] = Gm.edge(partBinTst{k}(i,1), partBinTst{k}(i,2),... partBinTst{k}(i,3)); if isempty(weight) || weight == 0 error 'inconsistent similarity data'; end % save into same data structure partBinTst{k}(i,4) = weight; end end % --- % train sets % --- cprint(2, 'doing train sets') % for all validations for k = 1:size(partBinTrn, 1); % for all training sizes for m = 1:size(partBinTrn, 2); % for each constraint tiplet for i = 1:size(partBinTrn{k,m},1) % get weight for this edge from graph [weight, ~, ~] = Gm.edge(partBinTrn{k,m}(i,1), partBinTrn{k,m}(i,2),... partBinTrn{k,m}(i,3)); if isempty(weight) || weight == 0 error 'inconsistent similarity data'; end % save into same data structure partBinTrn{k,m}(i,4) = weight; end end end % --- % Notrain sets % --- cprint(2, 'doing Notrain sets') % for all validations for k = 1:size(partBinNoTrn, 1); % for all training sizes for m = 1:size(partBinNoTrn, 2); % for each constraint tiplet for i = 1:size(partBinNoTrn{k,m},1) % get weight for this edge from graph [weight, ~, ~] = Gm.edge(partBinNoTrn{k,m}(i,1), partBinNoTrn{k,m}(i,2),... partBinNoTrn{k,m}(i,3)); if isempty(weight) || weight == 0 error 'inconsistent similarity data'; end % save into same data structure partBinNoTrn{k,m}(i,4) = weight; end end end % save results to mat file save(sprintf('%s_weighted.mat',filen), 'partBinTst', 'partBinTrn', 'partBinNoTrn');