08:30 < jenkins-mlpack2> Project docker mlpack nightly build build #174: UNSTABLE in 3 hr 16 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/174/

12:04 < travis-ci> saksham189/mlpack#21 (br - 82413ab : Saksham Bansal): The build failed.

12:04 < travis-ci> Change view : https://github.com/saksham189/mlpack/compare/6028799c4507...82413ab71e77

12:04 < travis-ci> Build details : https://travis-ci.org/saksham189/mlpack/builds/474060742

14:03 < travis-ci> saksham189/mlpack#21 (br - 82413ab : Saksham Bansal): The build failed.

14:03 < travis-ci> Change view : https://github.com/saksham189/mlpack/compare/6028799c4507...82413ab71e77

14:03 < travis-ci> Build details : https://travis-ci.org/saksham189/mlpack/builds/474060742

15:34 < travis-ci> saksham189/mlpack#22 (br - 2311912 : Saksham Bansal): The build is still failing.

15:34 < travis-ci> Change view : https://github.com/saksham189/mlpack/compare/82413ab71e77...231191250918

15:34 < travis-ci> Build details : https://travis-ci.org/saksham189/mlpack/builds/474093529

17:19 < prateek0001> @rcurtin, arch does not provide armadillo as a prepackaged library, moreover the package provided in the arch user repository which can be built and installed does not provide support for building it with hdf5 for various reasons. So I was forced to build from source and install. Doing that the libarmadillo.so file is now situated in the /usr/lib64/ folder which mlpack is unable to find.

17:20 < prateek0001> as a result I am not able to build mlpack. Any ideas what can be done for pointing mlpack to this folder while building it ?

17:22 < zoq> prateek0001: See https://github.com/mlpack/mlpack/blob/master/CMakeLists.txt#L214-L221, so 'cmake -DARMADILLO_LIBRARY=/usr/lib64/ ..' should help to find libarmadillo.so

18:55 < nagato007> had issues installing mlpack from source on win10, so instead installed libmlpack-dev on my ubuntu VM

18:55 < nagato007> i want to know if i can change code, solve issues now

18:56 < nagato007> bcoz i have installed mlpack to root, is it possible to download from source, make changes and build+commit

19:45 < nagato007> hi, anyone here

19:46 < nagato007> i notice mlpack isn't as well developed for deep learning purposes yet, such as lack of pre-trained networks etc...

19:46 < nagato007> would like to contribute to training such models

19:47 < nagato007> also we can make tutorials for many deep learning applications such as vqa, object detection, segmentation, etc using mlpack

19:56 < yugandhar> how can I compile mlpack files on my local system? I use a VScode env and it says needs openMP support to compile files

19:59 < travis-ci> saksham189/mlpack#25 (br - 13b194a : Saksham Bansal): The build failed.

19:59 < travis-ci> Change view : https://github.com/saksham189/mlpack/compare/48228e11dd2b...13b194ad5c10

19:59 < travis-ci> Build details : https://travis-ci.org/saksham189/mlpack/builds/474155027

20:02 < zoq> nagato007: Hello, for how to build mlpack from source see: https://www.mlpack.org/docs/mlpack-git/doxygen/build.html

20:02 < zoq> nagato007: There are some ready to use models/examples here: https://github.com/mlpack/models but would be great to add more

20:02 < zoq> yugandhar: See https://www.mlpack.org/docs/mlpack-git/doxygen/build_windows.html to build mlpack on windows, and you don't need OpenMP to build the code.

20:07 < yugandhar> I had no problem in building mlpack for existing models, I was working on an issue and I made some changes and I wanted to check if everything is working how it should now but I am not able to compile my changes. I need to rebuild mlpack to observe my changes?can't I just run cpp test file directly?

20:11 < zoq> yugandhar: If you changed something in the mlpack codebase, it's the easier to just rebuild the codebase using cmake & make instead of building a single file; note only the changes are build.

20:19 < yugandhar> zoq: got it thanks for the help