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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<ShubhamAgrawal[m> > <@shubhamag:matrix.org> Can you just tell me how to do this?
<ShubhamAgrawal[m> > I will write the Dockerfile for that.
<ShubhamAgrawal[m> zoq: ?
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<zoq[m]> <ShubhamAgrawal[m> "> <@shubhamag:matrix.org> Can..." <- Sorry, Will provide the infos tomorrow.
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<rcurtin[m]> zoq: let me know if I can help out too, I think Shubham Agrawal is a bit blocked with this
<zoq[m]> <rcurtin[m]> "zoq: let me know if I can help..." <- I'll get it done today. But I'm curious why is this a blocker?
<zoq[m]> Are you updating the notebooks?
<rcurtin[m]> I think Shubham Agrawal prefers to do the development in a notebook?
<rcurtin[m]> I guess "preference" is not a blocker technically 😄
<zoq[m]> Okay, writing templated code in a notebook is not really fun, but it's next on my list.
<zoq[m]> `"9.900.5 (Nocturnal Misbehaviour)"` is installed
<zoq[m]> Looks like some issue with saving/loading in general.
<zoq[m]> But the rest seems to work.
<zoq[m]> So I'll push the image.
<rcurtin[m]> that's... very strange, definitely `load` is a member of `arma::Mat`
<zoq[m]> right
<rcurtin[m]> I guess this must be a cling bug?
<zoq[m]> Maybe, I'll take a closer look into it later, currently pushing the image, so this should unblock Shubham Agrawal
<zoq[m]> <zoq[m]> "I'll get it done today. But I'..." <- https://hub.docker.com/r/mlpack/mlpack-jupyter-dev
<zoq[m]> You can use `jupyer lab` to start the notebook.
<zoq[m]> zoq[m]: You should use https://gist.github.com/zoq/5333a8b35ae94bd0aa5021bb0c7a3301 in the first cell.
<zoq[m]> If you add a new feature to mlpack, you need to rebuild it and either update `#pragma cling load("/root/Downloads/mlpack/build/lib/libmlpack.so")` or use the existing project.
<zoq[m]> <zoq[m]> "If you add a new feature to..." <- You also need to activate the conda env, using `conda activate mlpack`.