ensmallen
mlpack
fast, flexible C++ machine learning library

mlpack IRC logs, 2019-02-09

Logs for the day 2019-02-09 (starts at 0:00 UTC) are shown below.

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--- Log opened Sat Feb 09 00:00:03 2019
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04:20 -!- vidhanarya [67157d52@gateway/web/freenode/ip.103.21.125.82] has joined #mlpack
04:20 < vidhanarya> Hi
04:22 < vidhanarya> I am a newcomer, I want to participate in GSoC 2019 under mlpack organisation, I've gone through the beginners guide available on mlpack, I just have one question after building mlpack from source how can I send PR to the mlpack repo on github
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04:32 < vidhanarya> I am familiar with git and github, usually I had to first fork the repo and then push commit to origin and then send a PR to the repo on github, but here source is provided as a downloadable zip. Should I just fork the repo and build from the master branch of the mlpack repo?
04:51 -!- Kunvar_thaman [75dcafe2@gateway/web/freenode/ip.117.220.175.226] has joined #mlpack
05:15 < Kunvar_thaman> Doubt on essential deep learning modules - Although it isn't mentioned on the ideas page, should I also work on implementing WGAN as proposed in a past project(http://mlpack.org/gsocblog/deep-learning-modules-summary.html)
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05:39 < Kunvar_thaman> Also, what's the nick of the mentors for this project? >essential deep learning modules
05:40 < Kunvar_thaman> Also, what's the nick of the mentors for this project? >essential deep learning modules
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06:24 < ShikharJ> Kunvar_thaman: We already have an implementation of the WGAN.
06:25 < ShikharJ> vidhanarya: Yes, ideally, you should build from source to check your code changes.
06:25 < ShikharJ> shardulparab97: Sorry for the late reply, I'll mention the details on the issue itself.
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06:36 < Kunvar_thaman> ShikharJ Ok that's great
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06:56 < vidhanarya> Actually I was asking that should I first fork the mlpack repo from mlpack github then clone the forked repo to my PC and then build mlpack from source
06:57 < vidhanarya> or should I download the source zip file from the mlpack site and build from it?
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08:44 < jenkins-mlpack2> Project docker mlpack nightly build build #229: STILL UNSTABLE in 3 hr 30 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/229/
08:52 -!- KimSangYeon-DGU [d25c2d9b@gateway/web/freenode/ip.210.92.45.155] has joined #mlpack
09:05 < ShikharJ> vidhanarya: Yes, do the fork first, and then clone to your PC (using ssh preferably).
09:07 < vidhanarya> cool, thanks :)
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11:46 < KimSangYeon-DGU> rcurtin zoq: Thanks for resolving the issue, and the "test this please" is really nice. :)
11:49 < zoq> The diff doesn't work, but we we have to wait for an cppcheck plugin update: https://issues.jenkins-ci.org/browse/JENKINS-54209
12:00 < KimSangYeon-DGU> Ah, I see
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18:00 -!- trancenoid [0e8becd3@gateway/web/freenode/ip.14.139.236.211] has joined #mlpack
18:05 < trancenoid> Hey everyone, I am having trouble using mlpack in python. I have build from source in windows, mlpack is working in C++ (VS17) but its showing error (no module named mlpack ) I am using Anaconda, Windows 10. I searched the website for some help but couldn't find anything, can some one point me towards right direction.
18:06 < trancenoid> I tried using the linux method to include mlpack in PATH , didnt work. Also appending mlpack/build/src/bindings/python to sys inside the python code, but that folder only have INSTALL.vscproj files
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18:21 < zoq> trancenoid: Hello, python bindings are disabled per default on windows; you can give it a shot but you have to build with cmake -DBUILD_PYTHON_BINDINGS=ON ..
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22:00 < rcurtin> zoq: thanks for getting the style checker working again, really useful
22:03 < zoq> hopefully they can fix the diff view issue
22:31 < rcurtin> yeah. I found that the docker environment plugin is not in a good state and I am not sure how much it is updated
22:31 < rcurtin> maybe the style check is better
23:00 < KimSangYeon-DGU> Thanks, zoq. :)
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--- Log closed Sun Feb 10 00:00:05 2019