rcurtin_irc changed the topic of #mlpack to: mlpack: a scalable machine learning library (https://www.mlpack.org/) -- channel logs: https://libera.irclog.whitequark.org/mlpack -- NOTE: messages sent here might not be seen by bridged users on matrix, gitter, or slack
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<TarekNasser[m]> Hi guys,
<TarekNasser[m]> How do i join mlpack slack workspace?
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<rcurtin[m]> are we running our own servers for binder? I'm trying to run this notebook: https://mybinder.org/v2/gh/zoq/examples/binder-build-fix
<rcurtin[m]> but in the logs I'm seeing, e.g., `2022-03-14T13:56:11.189600Z [Warning] 0/3 nodes are available: 1 node(s) had taint {health: unhealthy}, that the pod didn't tolerate, 2 node(s) were unschedulable.`; but I don't know if those nodes are our own nodes or if this is something on binder's end
<zoq[m]> <rcurtin[m]> "are we running our own servers..." <- No we don't run our own server.
<rcurtin[m]> ok, so I guess this must be some binder issue then
<zoq[m]> clicked the link just a few seconds ago, let's see if it works here
<zoq[m]> Took some time, but works without any issues.
<zoq[m]> Maybe you can test https://notebooks.gesis.org/binder/ ?
<rcurtin[m]> ok, I reloaded (the original link) and that seems to work... but is the C++14 kernel the right one to select? when I try to run the LSTM stock prediction notebook, I get:... (full message at https://libera.ems.host/_matrix/media/r0/download/libera.chat/18bb41f0a9da4a53b16a8ce99e744960708b48f0)
<zoq[m]> Hm, the C++14 kernel is correct, I'll take a look into it.
<rcurtin[m]> I suppose header-only mlpack will fix that 😄
<zoq[m]> It's missing some pieces.
<zoq[m]> It's not downloading the dataset.
<rcurtin[m]> I've almost got my RNN reimplementation ready to start compiling and testing... shouldn't be long after that until #2777 is ready (but I know better than to provide any time estimates 😄)
<zoq[m]> Also, `#include <mlpack/xeus-cling.hpp>` has to be included first.
<zoq[m]> rcurtin[m]: Ohh, wow.
<rcurtin[m]> ok, let me try those changes and see what happens :)
<zoq[m]> I also, had to reduce the number of epochs, to prevent the kernel from dying.
<zoq[m]> I'll open a PR later, with the changes.
<rcurtin[m]> victory! those changes make it work just fine. thanks! 🚀
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<_slack_mlpack_31> Hello mlpack community, Hope you are doing well 😃... (full message at https://libera.ems.host/_matrix/media/r0/download/libera.chat/c1d1e3ee2086b1d108c921352e6403dfc84dcc6d)
<zoq[m]> Hello Tarek Nasser that sounds great, since you mentioned you are interested in the examples project, a next step would be to make sure you have a local working jupyter notebook setup, the easiest way is to use David's script - https://github.com/mlpack/examples/blob/master/scripts/jupyter-conda-setup.sh
<zoq[m]> After that, you could see if you could come up with a simple notebook, you don't have need to contribute anything before GSoC, but often people are doing it to get familiar with he codebase.
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