[mlpack] mlpack unit tests under Windows

[Marcus Edel]

Hello Jason,

Looks like the test datasets aren't accessible from where you start the test,
one idea is to copy the datasets into C:\projects\mlpack-3.0.2\build\Release.
Let me know if that solves the issue.

Thanks,
Marcus

> On 10. Jun 2018, at 16:36, Jason Liu <liuj03 at gmail.com> wrote:
> 
> Hi,
> 
> I built mlpack under Windows 10 using MSVC-2015. I have all dependencies (boost, armadillo, blas, lapack) built from source using the same compiler. All went fine without errors. But when I run the unit tests (mlpack_test.exe) I get the following test failures:
> 
> C:\projects\mlpack-3.0.2\build\Release>mlpack_test.exe
> Running 1438 test cases...
> unknown location(0): fatal error: in "LoadSaveTest/CaseTest": class std::runtime_error: Parse error at line 13 token 0: "TA".
> C:\projects\mlpack-3.0.2\src\mlpack\tests\load_save_test.cpp(1810): last checkpoint: "CaseTest" entry.
> C:/projects/mlpack-3.0.2/src/mlpack/tests/parallel_sgd_test.cpp(69): fatal error: in "ParallelSGDTest/SimpleParallelSGDTest": difference{inf} between result{inf} and 123.75{123.75} exceeds 0.01%
> C:/projects/mlpack-3.0.2/src/mlpack/tests/parallel_sgd_test.cpp(100): fatal error: in "ParallelSGDTest/GeneralizedRosenbrockTest": absolute value of result{inf} exceeds 1e-08
> C:/projects/mlpack-3.0.2/src/mlpack/tests/regularized_svd_test.cpp(316): fatal error: in "RegularizedSVDTest/RegularizedSVDFunctionOptimizeHOGWILD": absolute value of relativeError{-nan(ind)} exceeds 0.01
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/decision_tree_test.cpp(103): fatal error: in "DecisionTreeMainTest/DecisionTreeCategoricalOutputDimensionTest": Cannot load train dataset braziltourism.arff!
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/decision_tree_test.cpp(149): fatal error: in "DecisionTreeMainTest/DecisionTreeMinimumLeafSizeTest": Cannot load train dataset braziltourism.arff!
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/decision_tree_test.cpp(178): fatal error: in "DecisionTreeMainTest/DecisionMinimumGainSplitTest": Cannot load train dataset braziltourism.arff!
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/decision_tree_test.cpp(207): fatal error: in "DecisionTreeMainTest/DecisionRegularisationTest": Cannot load train dataset braziltourism.arff!
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/decision_tree_test.cpp(362): fatal error: in "DecisionTreeMainTest/DecisionModelCategoricalReuseTest": Cannot load train dataset braziltourism.arff!
> ** On entry to DLASCL, parameter number  4 had an illegal value
> ** On entry to DLASCL, parameter number  5 had an illegal value
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/hoeffding_tree_test.cpp(99): fatal error: in "HoeffdingTreeMainTest/HoeffdingTreeCategoricalOutputDimensionTest": Cannot load train dataset braziltourism.arff!
> C:/projects/mlpack-3.0.2/src/mlpack/tests/main_tests/hoeffding_tree_test.cpp(295): fatal error: in "HoeffdingTreeMainTest/HoeffdingModelCategoricalReuseTest": Cannot load train dataset braziltourism.arff!
> 
> *** 11 failures are detected in the test module "mlpackTest"
> 
> Does anyone know how to fix these test failures?
> 
> Thanks!
> 
> Kind Regards
> Jason
> 
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