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/
< jenkins-mlpack2> Project docker ensmallen nightly build build #69: STILL FAILING in 49 min: http://ci.mlpack.org/job/docker%20ensmallen%20nightly%20build/69/
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< robertohueso> rcurtin: Looks perfect to me :) Just a small issue, the URL in the bottom of each slide points to https://www.ratml.org/misc/mlpack-meeting-slides.pdf
< rcurtin> oh! thanks
< rcurtin> I will fix that now :)
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< travis-ci> mlpack/mlpack#8247 (master - c17b731 : Ryan Curtin): The build has errored.
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< rcurtin> I just ran into the conda-forge people at the summit, so now they are helping me debug the mlpack package for conda... hopefully we can get it sorted out this weekend :)
< zoq> Awsome, als we should mention the presentation went really well.
< rcurtin> yeah, I think so, except when I talked about templates I forgot to say that they make the code fast :)
< rcurtin> if any python user was sitting there they might have been thinking "but you can already write generic code in python" (not realizing it could be slow)
< rcurtin> and surely the Julia folks were thinking "we designed an entire language so you could do exactly this!" :)
< rcurtin> anyway, hopefully people want to come talk about it :)
< wiking> :>
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< zoq> Nice to see the logo on that poster: https://kurg.org/media/mlpack_nf.jpeg
< rcurtin> agreed :)
< rcurtin> we should have had them use the black logo so it stands out more :)
< zoq> next time :)
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