Function test_kcentroid_with_linear_kernel

dlib/test/kcentroid.cpp:133–254

    template <typename kernel_type>
    void test_kcentroid_with_linear_kernel(
    )
    /*!
        requires
            - kernel_type::sample_type == a matrix<double,5,1>
            - kernel_type == a kernel that just computes a dot product
              between its inputs.  I.e. a linear kernel
        ensures
            - tests the kcentroid object with the given kernel
    !*/
    {
        // Here we declare that our samples will be 2 dimensional column vectors.  
        typedef typename kernel_type::sample_type sample_type;

        kernel_type default_kernel;
        kcentroid<kernel_type> test(default_kernel,0.001,20);

        sample_type temp, temp2;

        temp = 2,0,0,0,0;
        dlog << LDEBUG << test(temp) ;
        dlog << LDEBUG << "squared_norm(): " << test.squared_norm() ;

        DLIB_TEST(approx_equal(test(temp), 2));
        DLIB_TEST(approx_equal(test.squared_norm(), 0));

        // make test store the point(2,0,0,0,0)
        test.train(temp, 0, 1);
        dlog << LDEBUG << test(temp) ;
        dlog << LDEBUG << "squared_norm(): " << test.squared_norm() ;
        DLIB_TEST(approx_equal(test(temp), 0));
        DLIB_TEST(approx_equal(test.get_distance_function()(temp), 0));
        DLIB_TEST(approx_equal(test.squared_norm(), 4));

        temp = 0,2,0,0,0;
        dlog << LDEBUG << test(temp) ;
        DLIB_TEST(approx_equal(test(temp), std::sqrt(2*2 + 2*2.0)));
        DLIB_TEST(approx_equal(test.squared_norm(), 4));

        // make test store the point(0,2,0,0,0)
        test.train(temp, 0, 1);

        dlog << LDEBUG << test(temp) ;
        DLIB_TEST(approx_equal(test(temp), 0));
        DLIB_TEST(approx_equal(test.squared_norm(), 4));

        temp = 2,0,0,0,0;
        DLIB_TEST(approx_equal(test(temp), std::sqrt(2*2 + 2*2.0)));
        DLIB_TEST(approx_equal(test.squared_norm(), 4));

        // make test store the point(1,1,0,0,0)
        test.train(temp, 0.5, 0.5);

        temp = 0;
        DLIB_TEST(approx_equal(test(temp), std::sqrt(2.0)));
        DLIB_TEST(approx_equal(test.squared_norm(), 2));

        // make test store the point(1,1,0,3,0)