Mercurial > hg > camir-aes2014

annotate core/tools/machine_learning/save_svmlight_inequalities.m @ 0:e9a9cd732c1e tip

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
first hg version after svn
author wolffd
date Tue, 10 Feb 2015 15:05:51 +0000
parents
children
rev   line source
wolffd@0 1 function success = save_svmlight_inequalities(lhs, rhs, factors, file)
wolffd@0 2 % success = save_svmlight_inequalities(lhs, rhs, file)
wolffd@0 3 %
wolffd@0 4 % saves the optimisation problem given by lhs and rhs to
wolffd@0 5 % a svmlight data file. the individual equations can
wolffd@0 6 % be weighted using
wolffd@0 7 %
wolffd@0 8 % success = save_svmlight_inequalities(lhs, rhs, factors, file)
wolffd@0 9
wolffd@0 10 if nargin == 3
wolffd@0 11 file = factors;
wolffd@0 12 factors = [];
wolffd@0 13 end
wolffd@0 14
wolffd@0 15 % open file
wolffd@0 16 fid = fopen(file, 'w+');
wolffd@0 17 if fid < 1
wolffd@0 18 success = 0;
wolffd@0 19 return;
wolffd@0 20 end
wolffd@0 21
wolffd@0 22 try
wolffd@0 23 % write individual constraint rows
wolffd@0 24 for i = 1:size(lhs,1)
wolffd@0 25
wolffd@0 26 % ---
wolffd@0 27 % print rows:" rhs #fnum:#fval #fnum:#fval #fnum:#fval ..."
wolffd@0 28 % ---
wolffd@0 29
wolffd@0 30 % print right hand side
wolffd@0 31 fprintf(fid,'%d ', rhs(i));
wolffd@0 32
wolffd@0 33 % print cost factors if availablefactor
wolffd@0 34 if (numel(lhs{i,1}) > 0) && (numel(factors) >= i)
wolffd@0 35
wolffd@0 36 fprintf(fid,'cost:%f ', factors(i));
wolffd@0 37 end
wolffd@0 38
wolffd@0 39 % print left hand side
wolffd@0 40 for j = 1:numel(lhs{i,1})
wolffd@0 41
wolffd@0 42 fprintf(fid,'%d:%2.16f ', lhs{i,1}(j), lhs{i,2}(j));
wolffd@0 43 end
wolffd@0 44
wolffd@0 45 % finish line
wolffd@0 46 fprintf(fid,'\n');
wolffd@0 47 end
wolffd@0 48 catch
wolffd@0 49 success = 0;
wolffd@0 50 fclose(fid);
wolffd@0 51 return;
wolffd@0 52 end
wolffd@0 53 success = 1;
wolffd@0 54 fclose(fid);
wolffd@0 55
wolffd@0 56
wolffd@0 57