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changed the tests a little
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402492
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@ -177,7 +177,7 @@ namespace
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rvm_test.set_kernel(test.get_kernel());
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rbf_network_trainer<kernel_type> rbf_test;
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rbf_test.set_kernel(test.get_kernel());
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rbf_test.set_num_centers(10);
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rbf_test.set_num_centers(13);
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print_spinner();
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std::vector<sample_type> samples;
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@ -371,20 +371,20 @@ namespace
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DLIB_CASSERT(num_rv <= 14, "");
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DLIB_CASSERT(num_sv <= 35, "");
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decision_function<kernel_type> df = reduced2(trainer, 15).train(x,y);
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decision_function<kernel_type> df = reduced2(trainer, 19).train(x,y);
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print_spinner();
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matrix<scalar_type> svm_reduced_error = test_binary_decision_function(df, x, y);
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print_spinner();
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DLIB_CASSERT(mean(svm_reduced_error) > 0.9, "");
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dlog << LDEBUG << "svm reduced test error: " << svm_reduced_error;
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dlog << LDEBUG << "svm reduced num sv: " << df.support_vectors.size();
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DLIB_CASSERT(mean(svm_reduced_error) > 0.9, "");
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svm_cv = cross_validate_trainer(reduced(trainer,30), x,y, 4);
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dlog << LDEBUG << "svm reduced cv: " << svm_cv;
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DLIB_CASSERT(mean(svm_cv) > 0.9, svm_cv);
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DLIB_CASSERT(df.support_vectors.size() == 15,"");
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DLIB_CASSERT(df.support_vectors.size() == 19,"");
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dlog << LINFO << " end test_binary_classification()";
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}
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