mean_shift_test.cpp File Reference

#include <string>
#include <mlpack/core.hpp>
#include <mlpack/core/util/mlpack_main.hpp>
#include <mlpack/methods/mean_shift/mean_shift_main.cpp>
#include "test_helper.hpp"
#include "../test_catch_tools.hpp"
#include "../catch.hpp"

Include dependency graph for mean_shift_test.cpp:

Classes
struct	MeanShiftTestFixture

Macros
#define	BINDING_TYPE   BINDING_TYPE_TEST

Functions
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftOutputDimensionTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that the output has 1 extra row for the labels and check the number of points for output remain the same.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftLabelOnlyOutputDimensionTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that if we ask for labels_only, output has 1 row and same number of columns for each point's label.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftInPlaceTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that the updated input file has 1 extra row for the labels and check the number of points remain the same if the –in_place flag is set.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftForceConvergenceTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that force_convergence is used by testing that the force_convergence flag makes a difference in the program.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftRadiusTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that radius is used by testing that the radius makes a difference in the program.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftMaxIterationsTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that max_iterations is used by testing that the max_iteration makes a difference in the program.
	TEST_CASE_METHOD (MeanShiftTestFixture, "MeanShiftInvalidMaxIterationsTest", "[MeanShiftMainTest][BindingTests]")
	Ensure that we can't specify an invalid max number of iterations.

Detailed Description

Author

Tan Jun An

Test mlpackMain() of mean_shift_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.