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/
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< jenkins-mlpack2> Project docker mlpack nightly build build #298: STILL UNSTABLE in 3 hr 46 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/298/
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< frogeye> Is model for neural nets in mlpack?
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< zoq> frogeye: mlpack does implement some neural networks.
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< travis-ci> mlpack/mlpack#6840 (master - c2dc5bf : Ryan Curtin): The build was fixed.
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< Mulx10> Is there any way to restart the checks on the PR without pushing any commits?
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< zoq> Mulx10: The rrn PR?
< zoq> ddMulx10: Restarted.
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< mulx10> zoq: Yes thanks. Could you please do it for PR #1829 also?
< mulx10> zoq: thanks again
< zoq> mulx10: done
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< ShikharJ> zoq: Is the BRNN functionality of mlpack under work? Or is it complete?
< zoq> ShikharJ: Yes and no, the standard method works, but on top of that it would be interesting to have the same functionality for specific layer.
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< rcurtin> zoq: should I include it in the release or avoid that?
< rcurtin> now that the travis build is passing I think we are basically ready, so I was going to work on that today and tomorrow
< rcurtin> ("it" in this context being BRNN)
< zoq> rcurtin: I don't mind to include the brrn PR.
< rcurtin> sounds good, I'll leave it in
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