import_results.m.svn-base

Probabilistic graphical models in matlab.

function [model] = import_results(model, filename)

fid = fopen(filename, 'r');

a = fscanf(fid, '<marginals> ');

fscanf(fid, '( ');

t = fscanf(fid, '%d');

while size(t) > 0

fscanf(fid, ' ) (');

temp =  fscanf(fid, ' %g');

model.marginals(t) = { temp' };

fscanf(fid, ') ( ');

t = fscanf(fid, '%d');

end

errors_bool = false;

a = fscanf(fid, '<exported errors> ');

fscanf(fid, '( ');

t = fscanf(fid, '%d');

while size(t) > 0
    
errors_bool = true;
    
    fscanf(fid, ' ) (');

errors = fscanf(fid, ' %g ');

temp_2(:,t) = errors;

fscanf(fid, ') ( ');

t = fscanf(fid, '%d');

end

if (errors_bool)

model.errors = temp_2;

end

fclose(fid);