00:04 < rcurtin[m]> does Armadillo even successfully load complex matrices? I guess I've never tried it... I'm pretty sure if you ever tried to do machine learning in mlpack with `arma::Mat<std::complex<double>>`, it would fail completely

00:05 < rcurtin[m]> at least to me, I don't think it makes sense to do machine learning on complex datatypes, but... that's just my opinion, maybe someone else has worked everything out and many machine learning algorithms still work on complex data 😃

00:13 < heisenbuugGopiMT> Yea, I totally agree...I was thinking do we even need to consider this part

00:14 < heisenbuugGopiMT> As much as I have done, I've also never seen any machine learning technique being applied to some complex data.

00:27 < jonpsy[m]> > Ohh, maybe I can use both [std::is_integral](https://en.cppreference.com/w/cpp/types/is_integral) and [std::is_floating_point](https://en.cppreference.com/w/cpp/types/is_floating_point) to replicate the same behaviour or maybe I can directly check if it's not complex then it will be real.

00:27 < jonpsy[m]> Correct. There are plenty of std type traits which can help you in this reg, I'd recommend stick to one convention (either template spec. as in arma, or std trait helpers)...or , go wild and use your own blend of things 😄

03:33 < abernauer[m]> @ryan:ratml.org: Might get the chance to use the mlpack R bindings at work on this project for predicting employee attrition!

07:24 < swaingotnochill[> Any idea on using mlpack on local jupyter notebooks

07:25 < swaingotnochill[> I was using binder till now but it seems the binder sever is offline

07:26 < swaingotnochill[> I wish to get my jupyter kernel ready for running files on local machine

09:45 < jonpsy[m]> swaingotnochill: it isn't that difficult. I think the main problem will come during loading shared libs. Basically you need to add these lines on each of your notebook, see [this file](https://github.com/mlpack/examples/blob/master/binder/xeus-cling.hpp). I only had to load armadillo, but your case is different so its more cumbersome. Davidportlouis (David Port Louis) recently had success in this regard, you can mail him

09:45 < jonpsy[m]> or perhaps he'll reply here.

12:34 < swaingotnochill[> What's David's handle here...?

13:29 < rcurtin[m]> abernauer: awesome! if you do, and if you have any issues, please don't hesitate to report them 😃

14:28 < zoq> swaingotnochill[: What url did you use? The binder server is running on my side - https://lab.mlpack.org/v2/gh/mlpack/examples/master?urlpath=lab

14:30 < swaingotnochill[> I meant actual binder website..😅Binder was offline this morning here

16:16 < jonpsy[m]> say4n Actually since Monday the 7th is too close to our prev meeting we decided on Monday of Next week. Hope that clears your doubt 👍

16:30 < say4n> Thanks! :)

16:39 < jonpsy[m]> How do i check if my library is linked against BLAS or OpenBLAS?

16:41 < rcurtin[m]> `ldd` should do it, though if you are on Debian/Ubuntu you may need to chase a bunch of symlinks

16:42 < jonpsy[m]> Aight, I ldd'd on armadillo shared lib. Worked like a charm. Thanks 👍