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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