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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 = 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')