ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at http://www.mlpack.org/irc/
< jeffin143[m]>
zoq i fondly remember you use mac , can i know which compiler do you use for .cpp
< jeffin143[m]>
Clan or gcc ??
< jeffin143[m]>
Clang*
< jeffin143[m]>
I got my hands on a new mac , and couldn't include bits/stdc++.h
xiaohong has quit [Read error: Connection reset by peer]
vsai121 has quit [Remote host closed the connection]
vsai121 has joined #mlpack
vsai121 has quit [Remote host closed the connection]
VSaicharanGitter has joined #mlpack
< VSaicharanGitter>
Hey! I'm new here and would like to start contributing. Can anyone point out how I can start reading and contributing to issues? Thanks a lot :)
< jeffin143[m]>
I was trying to use gcc , i mean wanted to change it from clang to gcc
< jeffin143[m]>
But some issues with llvm
< zoq>
jeffin143[m]: I see, sounds like you found a solution; any particular reason to use gcc instead of clang?
< jeffin143[m]>
No just use to it so thought of sticking to it, but any how i have fallen now to clang
xiaohong has joined #mlpack
xiaohong_ has quit [Ping timeout: 268 seconds]
< hemal[m]>
(Being lazy and directly asking here before googling) could anyone guide me on how to use clang to compile and run a simple mlpack program ?
< hemal[m]>
Also, if your PR, the build fails and it is not due to your code / contribution, what to do?
< Nakul[m]>
*clang++
< Nakul[m]>
Hope this help
< hemal[m]>
Thanks ! Nakul
bisakh has quit [Quit: Connection closed for inactivity]
< zoq>
hemal[m]: Wall is just to enable all warnings, that said you can pretty much use the same flags as for gcc.
< zoq>
hemal[m]: About the failing ci job, you can ignore that one, we have a bunch of probabilistic tests that could fail for various reasons like a to tight tolerance, we try to keep false errors as low as possible.
< rcurtin>
hemal[m]: if you wanted, you could try and work with that failing test to improve it :) I think there was a guide written up somewhere, let me see if I can find it...
< rcurtin>
anyway, don't feel obligated, but if you wanted to look into it and try to find a fix, feel free :)
< rcurtin>
(also, you could open a new issue for that failing test too, and maybe someone else would be interested)
< PulkitgeraGitter>
hi i am facing issues setting up mlpack. mostly regarding armadillo, I think ive the outdated version, any idea how to upgarde it, have been at it for quite some time
< hemal[m]>
Simply run sudo apt-get update packagename ? ( Should upgrade it)
< hemal[m]>
Also, if you could describe the problem, it would be easier to answer.
< hemal[m]>
Pulkit gera (Gitter) : Which OS are you using ?
< hemal[m]>
zoq : thanks
< hemal[m]>
@rcurtin:matrix.org: I'll check that out, thanks
< Nakul[m]>
@Pulkit gera could you tell us from where you downloaded armadillo.
ImQ009 has joined #mlpack
vikram2000b has joined #mlpack
< vikram2000b>
Hello, I am Vikram Singh Chundawat. I am good at c/c++ furthermore I have done several courses and projects in machine learning and deep learning and I am interested in this field. I want to gain more insight in this field and I am interested in contributing in this organisation. So, please guide me on how to start working and contributing in this
< vikram2000b>
organisation, as I am a beginner to open source community.
< zoq>
Pulkitgera: ubuntu 16.04 does provide an armadillo version that should work, did you install armadillo via the package manager?
gitter_nappailla has joined #mlpack
gitter_nappailla is now known as Valliappan_CAGit
< Valliappan_CAGit>
if the Armadillo version in Ubuntu is greater than 8.5 then you are good to build mlpack, else you can build from the latest version from sourceforge
< Valliappan_CAGit>
i meant build the Armadillo from sourceforge