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/
< AyushiJain[m]>
Hello. I have installed mlpack, so now to start contributing to it, I will fork the repository and start making pull requests right? I cant understand how to test the changes. It will be really nice if I could get a starting point for this. Thanks 😄
< AyushiJain[m]>
Also, for starters, I would like to work on machine learning features implementation. So, any suggestions or tasks related to that are welcome.
< AyushiJain[m]>
Yes
< AyushiJain[m]>
and set up mlpack on the system
< AyushiJain[m]>
Yes
< AyushiJain[m]>
I know basic stuff like branches, and making PRs
< AyushiJain[m]>
but I have never worked with an open source organisation before
< AyushiJain[m]>
Okay I will look into this. Thanks 🙂
< AyushiJain[m]>
<shrit[m] "If I have enough time, I would d"> Yes, this seems like a pretty good idea. I will start with this,
< AyushiJain[m]>
> <undefined>
< AyushiJain[m]>
(edited) ... with this, => ... with this, once I get a hang of the library.
< AyushiJain[m]>
I am thinking of starting with the documentation, as maybe that would be easier, and I would understand what I need to study to contribute more rigorously