Mercurial > hg > camir-aes2014
view core/tools/machine_learning/save_svmlight_inequalities.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 success = save_svmlight_inequalities(lhs, rhs, factors, file) % success = save_svmlight_inequalities(lhs, rhs, file) % % saves the optimisation problem given by lhs and rhs to % a svmlight data file. the individual equations can % be weighted using % % success = save_svmlight_inequalities(lhs, rhs, factors, file) if nargin == 3 file = factors; factors = []; end % open file fid = fopen(file, 'w+'); if fid < 1 success = 0; return; end try % write individual constraint rows for i = 1:size(lhs,1) % --- % print rows:" rhs #fnum:#fval #fnum:#fval #fnum:#fval ..." % --- % print right hand side fprintf(fid,'%d ', rhs(i)); % print cost factors if availablefactor if (numel(lhs{i,1}) > 0) && (numel(factors) >= i) fprintf(fid,'cost:%f ', factors(i)); end % print left hand side for j = 1:numel(lhs{i,1}) fprintf(fid,'%d:%2.16f ', lhs{i,1}(j), lhs{i,2}(j)); end % finish line fprintf(fid,'\n'); end catch success = 0; fclose(fid); return; end success = 1; fclose(fid);