run_tests; train_data = q(1:42, :); pred_list_class = {}; for i = 1:num_methods pred_list_class{i} = pred_methods(i).func(pall, train_data); end opt_class_data = round(opt_pred(method_idx, pred_list_class)); plot(sum(normalize(pall)') + 5000, '-og', sum(pall'), '-om', sum(q'), '-ok', 43:56, sum(opt_class_data'), '-ok', 29:42, sum(opt_data'), '-om') %classified_data = round((opt_class_data)'(:)); file = fopen('TeamFK_task1.txt', 'w'); fprintf(file, 'day|itemID|price|quantity'); for day = 43:56 for itemID = 1:570 fprintf(file, '\r\n%d|%d|%.2f|%d', day, itemID, pall(day, itemID), opt_class_data(day-42, itemID)); end end fclose(file);