#include <string>#include <mlpack/core.hpp>#include <mlpack/core/util/mlpack_main.hpp>#include "test_helper.hpp"#include <mlpack/methods/kde/kde_main.cpp>#include "../catch.hpp"
Include dependency graph for kde_test.cpp:
Classes | |
| struct | KDETestFixture |
Macros | |
| #define | BINDING_TYPE BINDING_TYPE_TEST |
Functions | |
| void | ResetKDESettings () |
| TEST_CASE_METHOD (KDETestFixture, "KDEGaussianRTreeResultsMain", "[KDEMainTest][BindingTests]") | |
| Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers. More... | |
| TEST_CASE_METHOD (KDETestFixture, "KDETriangularBallTreeResultsMain", "[KDEMainTest][BindingTests]") | |
| Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers. More... | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMonoResultsMain", "[KDEMainTest][BindingTests]") | |
| Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers in the monochromatic case. | |
| TEST_CASE_METHOD (KDETestFixture, "KDENoInputData", "[KDEMainTest][BindingTests]") | |
| Ensuring that absence of input data is checked. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEOutputSize", "[KDEMainTest][BindingTests]") | |
| Check result has as many densities as query points. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEModelReuse", "[KDEMainTest][BindingTests]") | |
| Check that saved model can be reused. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEGaussianSingleKDTreeResultsMain", "[KDEMainTest][BindingTests]") | |
| Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers using single-tree mode. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidKernel", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid kernel is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidTree", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid tree is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidAlgorithm", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid algorithm is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainReferenceAndModel", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when both reference and input_model are specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidAbsoluteError", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid absolute error is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidRelativeError", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid relative error is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidMCProbability", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid Monte Carlo probability is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidMCInitialSampleSize", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid Monte Carlo initial sample size is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidMCEntryCoef", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid Monte Carlo entry coefficient is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainInvalidMCBreakCoef", "[KDEMainTest][BindingTests]") | |
| Ensure we get an exception when an invalid Monte Carlo break coefficient is specified. | |
| TEST_CASE_METHOD (KDETestFixture, "KDEMainMonteCarloFlag", "[KDEMainTest][BindingTests]") | |
| Ensure when –monte_carlo flag is true, then KDEMain actually uses Monte Carlo estimations. More... | |
Detailed Description
Test mlpackMain() of kde_main.cpp
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.
Function Documentation
◆ TEST_CASE_METHOD() [1/3]
| TEST_CASE_METHOD | ( | KDETestFixture | , |
| "KDEGaussianRTreeResultsMain" | , | ||
| "" | [KDEMainTest][BindingTests] | ||
| ) |
Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers.
Requires normalization.
◆ TEST_CASE_METHOD() [2/3]
| TEST_CASE_METHOD | ( | KDETestFixture | , |
| "KDETriangularBallTreeResultsMain" | , | ||
| "" | [KDEMainTest][BindingTests] | ||
| ) |
Ensure that the estimations we get for KDEMain, are the same as the ones we get from the KDE class without any wrappers.
Doesn't require normalization.
◆ TEST_CASE_METHOD() [3/3]
| TEST_CASE_METHOD | ( | KDETestFixture | , |
| "KDEMainMonteCarloFlag" | , | ||
| "" | [KDEMainTest][BindingTests] | ||
| ) |
Ensure when –monte_carlo flag is true, then KDEMain actually uses Monte Carlo estimations.
Since this test has a random component, it might fail (although it's unlikely).
