mirror of https://github.com/davisking/dlib.git
Added tests for the new get_transformation_to() function in the empirical_kernel_map.
--HG-- extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403624
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Davis King
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1f975b66ed
commit
2e1561d576
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@ -39,6 +39,173 @@ namespace
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time_t thetime;
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dlib::rand::float_1a rnd;
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template <typename T>
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void validate (
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const T& ekm_small,
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const T& ekm_big
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)
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{
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matrix<double> tmat;
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projection_function<typename T::kernel_type> proj;
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ekm_small.get_transformation_to(ekm_big, tmat, proj);
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DLIB_TEST(tmat.nr() == ekm_big.out_vector_size());
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DLIB_TEST(tmat.nc() == ekm_small.out_vector_size());
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DLIB_TEST((unsigned long)proj.basis_vectors.size() == ekm_big.basis_size() - ekm_small.basis_size());
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for (unsigned long i = 0; i < 6; ++i)
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{
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const typename T::sample_type temp = randm(4,1,rnd);
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DLIB_TEST(length(ekm_big.project(temp) - (tmat*ekm_small.project(temp) + proj(temp))) < 1e-10);
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}
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}
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void test_transformation_stuff()
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{
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typedef matrix<double,0,1> sample_type;
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typedef radial_basis_kernel<sample_type> kernel_type;
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const kernel_type kern(1);
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for (unsigned long n = 1; n < 6; ++n)
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{
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print_spinner();
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for (unsigned long extra = 1; extra < 10; ++extra)
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{
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std::vector<sample_type> samps_small, samps_big;
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linearly_independent_subset_finder<kernel_type> lisf_small(kern, 1000);
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linearly_independent_subset_finder<kernel_type> lisf_big(kern, 1000);
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for (unsigned long i = 0; i < n; ++i)
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{
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samps_small.push_back(randm(4,1,rnd));
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samps_big.push_back(samps_small.back());
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lisf_big.add(samps_small.back());
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lisf_small.add(samps_small.back());
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}
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for (unsigned long i = 0; i < extra; ++i)
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{
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samps_big.push_back(randm(4,1,rnd));
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lisf_big.add(samps_big.back());
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}
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// test no lisf
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{
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empirical_kernel_map<kernel_type> ekm_small, ekm_big;
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ekm_small.load(kern, samps_small);
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ekm_big.load(kern, samps_big);
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validate(ekm_small, ekm_big);
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}
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// test with lisf
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{
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empirical_kernel_map<kernel_type> ekm_small, ekm_big;
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ekm_small.load(lisf_small);
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ekm_big.load(lisf_big);
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validate(ekm_small, ekm_big);
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}
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// test with partly lisf
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{
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empirical_kernel_map<kernel_type> ekm_small, ekm_big;
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ekm_small.load(kern, samps_small);
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ekm_big.load(lisf_big);
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validate(ekm_small, ekm_big);
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}
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// test with partly lisf
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{
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empirical_kernel_map<kernel_type> ekm_small, ekm_big;
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ekm_small.load(lisf_small);
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ekm_big.load(kern, samps_big);
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validate(ekm_small, ekm_big);
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}
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}
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}
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// test what happens if the bigger ekm only has repeated basis vectors
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{
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empirical_kernel_map<kernel_type> ekm_big, ekm_small;
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std::vector<sample_type> samps_big, samps_small;
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sample_type temp = randm(4,1,rnd);
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samps_small.push_back(temp);
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samps_big.push_back(temp);
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samps_big.push_back(temp);
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ekm_big.load(kern, samps_big);
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ekm_small.load(kern, samps_small);
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validate(ekm_small, ekm_big);
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}
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{
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empirical_kernel_map<kernel_type> ekm_big, ekm_small;
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linearly_independent_subset_finder<kernel_type> lisf_small(kern, 1000);
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std::vector<sample_type> samps_big;
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sample_type temp = randm(4,1,rnd);
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lisf_small.add(temp);
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samps_big.push_back(temp);
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samps_big.push_back(temp);
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ekm_big.load(kern, samps_big);
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ekm_small.load(lisf_small);
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validate(ekm_small, ekm_big);
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}
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{
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empirical_kernel_map<kernel_type> ekm_big, ekm_small;
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std::vector<sample_type> samps_big, samps_small;
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sample_type temp = randm(4,1,rnd);
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sample_type temp2 = randm(4,1,rnd);
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samps_small.push_back(temp);
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samps_small.push_back(temp2);
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samps_big.push_back(temp);
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samps_big.push_back(temp2);
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samps_big.push_back(randm(4,1,rnd));
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ekm_big.load(kern, samps_big);
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ekm_small.load(kern, samps_small);
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validate(ekm_small, ekm_big);
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}
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{
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empirical_kernel_map<kernel_type> ekm_big, ekm_small;
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linearly_independent_subset_finder<kernel_type> lisf_small(kern, 1000);
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std::vector<sample_type> samps_big;
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sample_type temp = randm(4,1,rnd);
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sample_type temp2 = randm(4,1,rnd);
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lisf_small.add(temp);
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lisf_small.add(temp2);
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samps_big.push_back(temp);
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samps_big.push_back(temp2);
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samps_big.push_back(temp);
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ekm_big.load(kern, samps_big);
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ekm_small.load(lisf_small);
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validate(ekm_small, ekm_big);
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}
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}
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void perform_test (
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@ -110,6 +277,7 @@ namespace
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}
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test_transformation_stuff();
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}
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};
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