mirror of https://github.com/davisking/dlib.git
Made tests more robust
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@ -149,13 +149,13 @@ namespace
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dlog << LINFO << "samples.size(): "<< samples.size();
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// When we pick the best/front ranked element then the active learning method
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// should do at least as well as random selection.
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 30, true) >= 1);
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 30, true) >= 1);
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// shouldn't do much worse than random selection (and often much better).
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 25, true) >= 0.97);
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 25, true) >= 0.97);
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// However, picking the worst ranked element should do way worse than random
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// selection.
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 30, false) < 1);
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 30, false) < 1);
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, max_min_margin, 25, false) < 0.8);
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DLIB_TEST(test_rank_unlabeled_training_samples(samples, labels, ratio_margin, 25, false) < 0.8);
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}
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} a;
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