mirror of https://github.com/davisking/dlib.git
Added more tests for the svm_c_linear_trainer
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403539
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@ -327,6 +327,7 @@ namespace
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typedef matrix<scalar_type,2,1> sample_type;
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std::vector<sample_type> x;
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std::vector<matrix<double,0,1> > x_linearized;
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std::vector<scalar_type> y;
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get_checkerboard_problem(x,y, 300, 3);
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@ -350,6 +351,15 @@ namespace
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trainer.set_kernel(kernel_type(gamma));
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trainer.set_nu(0.05);
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svm_c_linear_trainer<linear_kernel<matrix<double,0,1> > > lin_trainer;
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lin_trainer.set_c(100000);
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// use an ekm to linearize this dataset so we can use it with the lin_trainer
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empirical_kernel_map<kernel_type> ekm;
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ekm.load(kernel_type(gamma), x);
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for (unsigned long i = 0; i < x.size(); ++i)
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x_linearized.push_back(ekm.project(x[i]));
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print_spinner();
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matrix<scalar_type> rvm_cv = cross_validate_trainer_threaded(rvm_trainer, x,y, 4, 2);
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print_spinner();
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@ -357,6 +367,8 @@ namespace
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print_spinner();
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matrix<scalar_type> rbf_cv = cross_validate_trainer_threaded(rbf_trainer, x,y, 4, 2);
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print_spinner();
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matrix<scalar_type> lin_cv = cross_validate_trainer_threaded(lin_trainer, x_linearized, y, 4, 2);
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print_spinner();
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matrix<scalar_type> peg_cv = cross_validate_trainer_threaded(batch(pegasos_trainer,1.0), x,y, 4, 2);
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print_spinner();
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matrix<scalar_type> peg_c_cv = cross_validate_trainer_threaded(batch_cached(pegasos_trainer,1.0), x,y, 4, 2);
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@ -365,6 +377,7 @@ namespace
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dlog << LDEBUG << "rvm cv: " << rvm_cv;
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dlog << LDEBUG << "svm cv: " << svm_cv;
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dlog << LDEBUG << "rbf cv: " << rbf_cv;
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dlog << LDEBUG << "lin cv: " << lin_cv;
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dlog << LDEBUG << "peg cv: " << peg_cv;
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dlog << LDEBUG << "peg cached cv: " << peg_c_cv;
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@ -375,6 +388,7 @@ namespace
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DLIB_TEST_MSG(mean(rvm_cv) > 0.9, rvm_cv);
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DLIB_TEST_MSG(mean(svm_cv) > 0.9, svm_cv);
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DLIB_TEST_MSG(mean(rbf_cv) > 0.9, rbf_cv);
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DLIB_TEST_MSG(mean(lin_cv) > 0.9, lin_cv);
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DLIB_TEST_MSG(mean(peg_cv) > 0.9, peg_cv);
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DLIB_TEST_MSG(mean(peg_c_cv) > 0.9, peg_c_cv);
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