lars_test.cpp File Reference

#include <mlpack/methods/lars/lars.hpp>
#include <mlpack/core/data/load.hpp>
#include "catch.hpp"
#include "test_catch_tools.hpp"

Include dependency graph for lars_test.cpp:

Functions
void	GenerateProblem (arma::mat &X, arma::rowvec &y, size_t nPoints, size_t nDims)
void	LARSVerifyCorrectness (arma::vec beta, arma::vec errCorr, double lambda)
void	LassoTest (size_t nPoints, size_t nDims, bool elasticNet, bool useCholesky)
	TEST_CASE ("LARSTestLassoCholesky", "[LARSTest]")
	TEST_CASE ("LARSTestLassoGram", "[LARSTest]")
	TEST_CASE ("LARSTestElasticNetCholesky", "[LARSTest]")
	TEST_CASE ("LARSTestElasticNetGram", "[LARSTest]")
	TEST_CASE ("CholeskySingularityTest", "[LARSTest]")
	TEST_CASE ("NoCholeskySingularityTest", "[LARSTest]")
	TEST_CASE ("PredictTest", "[LARSTest]")
	TEST_CASE ("PredictRowMajorTest", "[LARSTest]")
	TEST_CASE ("LARSRetrainTest", "[LARSTest]")
	Make sure that if we train twice, there is no issue.
	TEST_CASE ("RetrainCholeskyTest", "[LARSTest]")
	Make sure if we train twice using the Cholesky decomposition, there is no issue.
	TEST_CASE ("TrainingAndAccessingBetaTest", "[LARSTest]")
	Make sure that we get correct solution coefficients when running training and accessing solution coefficients separately.
	TEST_CASE ("TrainingConstructorWithDefaultsTest", "[LARSTest]")
	Make sure that we learn the same when running training separately and through constructor. More...
	TEST_CASE ("TrainingConstructorWithNonDefaultsTest", "[LARSTest]")
	Make sure that we learn the same when running training separately and through constructor. More...
	TEST_CASE ("LARSTrainReturnCorrelation", "[LARSTest]")
	Test that LARS::Train() returns finite error value.
	TEST_CASE ("LARSTestComputeError", "[LARSTest]")
	Test that LARS::ComputeError() returns error value less than 1 and greater than 0.
	TEST_CASE ("LARSCopyConstructorTest", "[LARSTest]")
	Simple test for LARS copy constructor.

Detailed Description

Author

Nishant Mehta

Test for LARS.

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() [1/2]

TEST_CASE	(	"TrainingConstructorWithDefaultsTest"	,
		""	[LARSTest]
	)

Make sure that we learn the same when running training separately and through constructor.

Test it with default parameters.

TEST_CASE() [2/2]

TEST_CASE	(	"TrainingConstructorWithNonDefaultsTest"	,
		""	[LARSTest]
	)

Make sure that we learn the same when running training separately and through constructor.

Test it with non default parameters.