08:41 < jenkins-mlpack2> Project docker mlpack nightly build build #183: UNSTABLE in 3 hr 27 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/183/

14:28 < Xuwei> Hey guys, I've trying to build mlpack on Windows 10. I am wondering does it work with the new version of armadillo-9.200.6 instead of armadillo-8.500.1 that's on the tutorial? Also, for the boost 1.69.0 instead of boost 1.66.0?

14:29 < rcurtin> Xuwei: it should---give it a shot and report if there are any issues :)

14:31 < Xuwei> So I tried armadillo-9.200.6 it built but when I tried to build mlpack following the tutorial using the following line

14:31 < Xuwei> cmake -G "Visual Studio 15 2017 Win64" -DBLAS_LIBRARY:FILEPATH="C:/mlpack/mlpack-3.0.4/packages/OpenBLAS.0.2.14.1/lib/native/lib/x64/libopenblas.dll.a" -DLAPACK_LIBRARY:FILEPATH="C:/mlpack/mlpack-3.0.4/packages/OpenBLAS.0.2.14.1/lib/native/lib/x64/libopenblas.dll.a" -DARMADILLO_INCLUDE_DIR="C:/mlpack/armadillo-9.200.6/include" -DARMADILLO_LIBRARY:FILEPATH="C:/mlpack/armadillo-9.200.6/build/Debug/armadillo.lib" -DBOOST_INCLUDEDIR:PATH="

14:32 < Xuwei> CMake Error at C:/Program Files (x86)/Microsoft Visual Studio/2017/Community/Common7/IDE/CommonExtensions/Microsoft/CMake/CMake/share/cmake-3.12/Modules/FindBoost.cmake:2044 (message): Unable to find the requested Boost libraries. Unable to find the Boost header files. Please set BOOST_ROOT to the root directory containing Boost or BOOST_INCLUDEDIR to the directory containing Boost's headers. Call Stack (most recent call firs

14:32 < Xuwei> Unable to find the requested Boost libraries. Unable to find the Boost header files. Please set BOOST_ROOT to the root directory containing Boost or BOOST_INCLUDEDIR to the directory containing Boost's headers. Call Stack (most recent call first): CMakeLists.txt:302 (find_package) -- Found OpenMP_C: -openmp (found version "2.0") -- Found OpenMP_CXX: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -

14:33 < rcurtin> oh, I bet that you need to add 1.69 to "Boost_ADDITIONAL_VERSIONS" in CMakeLists.txt

14:33 < Xuwei> IT says something like this

14:38 < Xuwei> I added it to CMakeLists.txt. It does work. Thank you so much! But I'm not sure if I have built it successfully it says something like this

14:38 < Xuwei> -- Boost version: 1.69.0 -- Found the following Boost libraries: -- program_options -- unit_test_framework -- serialization -- Found OpenMP_C: -openmp (found version "2.0") -- Found OpenMP_CXX: -openmp (found version "2.0") -- Found OpenMP: TRUE (found version "2.0") -- Could NOT find Git (missing: GIT_EXECUTABLE) -- Not building Python bindings. -- Performing Test COMPILER_HAS_DEPRECATED_ATTR -- Performing Test COMPILER_HAS_DEPR

14:38 < Xuwei> -- Performing Test COMPILER_HAS_DEPRECATED - Success -- CXX target mlpack cotired. -- CXX target mlpack_test cotired. -- Could NOT find Doxygen (missing: DOXYGEN_EXECUTABLE) -- Could NOT find PkgConfig (missing: PKG_CONFIG_EXECUTABLE) -- Configuring done -- Generating done CMake Warning: Manually-specified variables were not used by the project: ARMADILLO_LIBRARY

14:40 < rcurtin> looks like that is only a warning, not a failure, so I think that it has configured correctly

14:40 < rcurtin> it's ok if it didn't find everything---not everything is needed just to build the library

14:40 < rcurtin> I'll open a PR to add 1.69 to Boost_ADDITIONAL_VERSIONS

14:40 < rcurtin> it's tough to stay on top of that, we have to update it every time Boost releases a new version...

14:40 < Xuwei> I know

14:41 < Xuwei> I would like to help with that

14:41 < rcurtin> oh, ok

14:41 < rcurtin> well in that case you can open the PR, it is very simple

14:42 < rcurtin> I'd suggest that you add both "1.69.0" and "1.69"

14:42 < rcurtin> does that work for you? if so I will let you handle it, then approve the PR once you open it :)

14:43 < Xuwei> Sure!Thank you, I will do it. You smart people should work on hard thing lol

14:45 < rcurtin> :) thanks

18:05 < ayesdie> hi, I have been working on PR #1648 and I'm having a bit trouble setting up the SparseSVM::Classify() function.

18:06 < ayesdie> Especially, where can I find b for f(x) = sgn(w.x + b)?

18:06 < ayesdie> Or am I missing anything else here?

18:42 < rcurtin> ayesdie: consider the 'parameters' matrix given to Evaluate() and Gradient() as a concatenated vector: [x b]

18:42 < rcurtin> so, e.g., the first x.n_elem elements of parameters correspond to x, and the last one(s) correspond to b