Method perform_test

dlib/test/active_learning.cpp:142–159

        {}

        void perform_test (
        )
        {
            std::vector<sample_type> samples;
            std::vector<double> labels;
            print_spinner();
            make_dataset(samples, labels);
            dlog << LINFO << "samples.size(): "<< samples.size();

            // When we pick the best/front ranked element then the active learning method
            // shouldn't do much worse than random selection (and often much better).
            DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 35, true) >= 0.97);
            DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 25, true) >= 0.96);
            // However, picking the worst ranked element should do way worse than random
            // selection.
            DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 25, false) < 0.8);
            DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 25, false) < 0.8);
        }
    } a;

}