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tangocolors;
colormap(tangocolors_middle);
% optimization graph
percent = round(local_min_count / sum(local_min_count) * 100);
labels = {};
p = 0;
for i = 1:size(local_min_count, 2)
if (p > 50)
labels{i} = sprintf('%d%% %s', percent(i),pred_methods(i).name);
else
labels{i} = sprintf('%s %d%%', pred_methods(i).name,percent(i));
end
p += percent(i);
end
pie(local_min_count, labels);
axis('off');
print('doc/image/opt_pred_pie.svg', '-dsvg', '-F:10');
% mean graph
plot(pred_list{1});
xlabel('Tage');
ylabel('Quantitaet');
print('doc/image/mean_pred.svg', '-dsvg', '-F:10');
% seven day plots
X = [0 0 7 7 14 14 21 21 28 28 35 35 42 42];
Y = [0 1 1 0 0 1 1 0 0 1 1 0 0 1];
%plot(X + 3, Y * 3800, '-k', 'linewidth', 1);
plot(sum(q'), '-ob;(Summe) Original;', 'linewidth', 2);
hold on;
ylim([0 4000]);
xlim([0 43]);
xlabel('Tage');
ylabel('Quantitaet');
% quantity sum
print('doc/image/q_sum.svg', '-dsvg', '-F:10')
plot(29:42, sum((pred_list{5})'), '-or;(Summe) Vorhersage;', 'linewidth', 2);
%ylim([0 4000]);
%xlim([0 14]);
%xlabel('Tage');
%ylabel('Quantitaet');
print('doc/image/sevenday_pred.svg', '-dsvg', '-F:10')
hold off;
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