#include <mlpack/core/kernels/cosine_distance.hpp>#include <mlpack/core/kernels/epanechnikov_kernel.hpp>#include <mlpack/core/kernels/gaussian_kernel.hpp>#include <mlpack/core/kernels/hyperbolic_tangent_kernel.hpp>#include <mlpack/core/kernels/laplacian_kernel.hpp>#include <mlpack/core/kernels/linear_kernel.hpp>#include <mlpack/core/kernels/polynomial_kernel.hpp>#include <mlpack/core/kernels/spherical_kernel.hpp>#include <mlpack/core/kernels/pspectrum_string_kernel.hpp>#include <mlpack/core/kernels/cauchy_kernel.hpp>#include <mlpack/core/metrics/lmetric.hpp>#include <mlpack/core/metrics/mahalanobis_distance.hpp>#include "catch.hpp"#include "test_catch_tools.hpp"#include "serialization.hpp"
Include dependency graph for kernel_test.cpp:
Functions | |
| TEST_CASE ("ManhattanDistanceTest", "[KernelTest]") | |
| Basic test of the Manhattan distance. | |
| TEST_CASE ("SquaredEuclideanDistanceTest", "[KernelTest]") | |
| Basic test of squared Euclidean distance. | |
| TEST_CASE ("EuclideanDistanceTest", "[KernelTest]") | |
| Basic test of Euclidean distance. | |
| TEST_CASE ("ArbitraryCaseTest", "[KernelTest]") | |
| Arbitrary test case for coverage. | |
| TEST_CASE ("LMetricZerosTest", "[KernelTest]") | |
| Make sure two vectors of all zeros return zero distance, for a few different powers. | |
| TEST_CASE ("MDUnsetCovarianceTest", "[KernelTest]") | |
| Simple test of Mahalanobis distance with unset covariance matrix in constructor. | |
| TEST_CASE ("MDRootUnsetCovarianceTest", "[KernelTest]") | |
| Simple test of Mahalanobis distance with unset covariance matrix in constructor and t_take_root set to true. | |
| TEST_CASE ("MDEyeCovarianceTest", "[KernelTest]") | |
| Simple test of Mahalanobis distance setting identity covariance in constructor. | |
| TEST_CASE ("MDRootEyeCovarianceTest", "[KernelTest]") | |
| Simple test of Mahalanobis distance setting identity covariance in constructor and t_take_root set to true. | |
| TEST_CASE ("MDDiagonalCovarianceTest", "[KernelTest]") | |
| Simple test with diagonal covariance matrix. | |
| TEST_CASE ("MDFullCovarianceTest", "[KernelTest]") | |
| More specific case with more difficult covariance matrix. | |
| TEST_CASE ("CosineDistanceSameAngleTest", "[KernelTest]") | |
| Simple test case for the cosine distance. | |
| TEST_CASE ("CosineDistanceOrthogonalTest", "[KernelTest]") | |
| Now let's have them be orthogonal. | |
| TEST_CASE ("CosineDistanceRandomTest", "[KernelTest]") | |
| Some random angle test. | |
| TEST_CASE ("LinearKernelTest", "[KernelTest]") | |
| Linear Kernel test. | |
| TEST_CASE ("LinearKernelOrthogonalTest", "[KernelTest]") | |
| Linear Kernel test, orthogonal vectors. | |
| TEST_CASE ("GaussianKernelTest", "[KernelTest]") | |
| TEST_CASE ("GaussianKernelSerializationTest", "[KernelTest]") | |
| TEST_CASE ("SphericalKernelTest", "[KernelTest]") | |
| TEST_CASE ("EpanechnikovKernelTest", "[KernelTest]") | |
| TEST_CASE ("PolynomialKernelTest", "[KernelTest]") | |
| TEST_CASE ("HyperbolicTangentKernelTest", "[KernelTest]") | |
| TEST_CASE ("LaplacianKernelTest", "[KernelTest]") | |
| TEST_CASE ("PSpectrumSubstringExtractionTest", "[KernelTest]") | |
| TEST_CASE ("PSpectrumStringEvaluateTest", "[KernelTest]") | |
| TEST_CASE ("CauchyKernelTest", "[KernelTest]") | |
| Cauchy Kernel test. | |
Detailed Description
Tests for the various kernel classes.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
