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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);
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