#include <string>#include <mlpack/core.hpp>#include <mlpack/core/util/mlpack_main.hpp>#include "test_helper.hpp"#include <mlpack/methods/adaboost/adaboost_main.cpp>#include "../test_catch_tools.hpp"#include "../catch.hpp"
Include dependency graph for adaboost_test.cpp:
Classes | |
| struct | AdaBoostTestFixture |
Macros | |
| #define | BINDING_TYPE BINDING_TYPE_TEST |
Functions | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostOutputDimensionTest", "[AdaBoostMainTest][BindingTests]") | |
| Check that number of output labels and number of input points are equal. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostProbabilitiesTest", "[AdaBoostMainTest][BindingTests]") | |
| Check that total number of rows of probabilities matrix is equal to total number of rows of input data and that each column of probabilities matrix sums up to 1. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostModelReuseTest", "[AdaBoostMainTest][BindingTests]") | |
| Ensure that saved model can be used again. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostItrTest", "[AdaBoostMainTest][BindingTests]") | |
| Test that iterations in adaboost is always non-negative. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostWithoutLabelTest", "[AdaBoostMainTest][BindingTests]") | |
| Check that the last dimension of the training set is used as labels when labels are not passed specifically and results are same from both label and without label models. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostTrainingDataOrModelTest", "[AdaBoostMainTest][BindingTests]") | |
| Testing that only one of training data or pre-trained model is passed. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostOutputPredictionsTest", "[AdaBoostMainTest][BindingTests]") | |
| This test can be removed in mlpack 4.0.0. More... | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostWeakLearnerTest", "[AdaBoostMainTest][BindingTests]") | |
| Weak learner should be either Decision Stump or Perceptron. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostDiffWeakLearnerOutputTest", "[AdaBoostMainTest][BindingTests]") | |
| Different Weak learner should give different outputs. | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostDiffItrTest", "[AdaBoostMainTest][BindingTests]") | |
| Accuracy increases as Number of Iterations increases. More... | |
| TEST_CASE_METHOD (AdaBoostTestFixture, "AdaBoostDiffTolTest", "[AdaBoostMainTest][BindingTests]") | |
| Accuracy increases as tolerance decreases. More... | |
Detailed Description
Test mlpackMain() of adaboost_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 | ( | AdaBoostTestFixture | , |
| "AdaBoostOutputPredictionsTest" | , | ||
| "" | [AdaBoostMainTest][BindingTests] | ||
| ) |
This test can be removed in mlpack 4.0.0.
This tests that the output and predictions outputs are the same.
◆ TEST_CASE_METHOD() [2/3]
| TEST_CASE_METHOD | ( | AdaBoostTestFixture | , |
| "AdaBoostDiffItrTest" | , | ||
| "" | [AdaBoostMainTest][BindingTests] | ||
| ) |
Accuracy increases as Number of Iterations increases.
(Or converges and remains same)
◆ TEST_CASE_METHOD() [3/3]
| TEST_CASE_METHOD | ( | AdaBoostTestFixture | , |
| "AdaBoostDiffTolTest" | , | ||
| "" | [AdaBoostMainTest][BindingTests] | ||
| ) |
Accuracy increases as tolerance decreases.
(Execution Time also increases)
