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 weekly build build #102: STILL UNSTABLE in 6 hr 16 min: http://ci.mlpack.org/job/docker%20mlpack%20weekly%20build/102/
< jenkins-mlpack2> * Marcus Edel: Add command line argument to set the source directory.
< jenkins-mlpack2> * Marcus Edel: Set the dir parameter.
< chopper_inbound4> hey zoq, can you review the PR https://github.com/mlpack/mlpack/pull/2351. Any suggestions? Do I need to add more tests?
< jenkins-mlpack2> Yippee, build fixed!
< jenkins-mlpack2> Project docker mlpack nightly build build #668: FIXED in 3 hr 13 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/668/
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< rcurtin> really nice to see so few failing tests for the docker builds... a big change from several months ago :)
< zoq> okay ... yes that one is strange
< rcurtin> I've seen it before; it doesn't make much sense... in what world could the timer say that it's been 10 seconds when it's only been 5?
< rcurtin> it happens so infrequently though that I've never put much priority in debugging it. I can't reproduce it reliably...
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< ShikharJaiswalGi> @zoq Are you there?
< zoq> ShikharJaiswalGi: Yes
< ShikharJaiswalGi> Can you take a look at #2364 when you get a chance? I needed some clarifications.
< zoq> ShikharJaiswalGi: Sure.
< ShikharJaiswalGi> I forgot to say please there. Sorry.
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< jeffin143[m]> zoq (@freenode_zoq:matrix.org): If you are stll there , can take a look at https://github.com/mlpack/mlpack/pull/2198 , I think it passed the checks
< jeffin143[m]> We can complete that pr
< zoq> jeffin143[m]: done
< GauravSinghGitte> Hi, @zoq if you get a chance please have a look at [#193](https://github.com/mlpack/ensmallen/pull/193).
< zoq> GauravSinghGitte: Already started with that one, but I need some more time with the BoundaryTransform implementation.
< GauravSinghGitte> Okay, thanks @zoq
< PrinceGuptaGitte> Hi @rcurtin I've redesigned the layer names visitor as per discussed in the last video call. Please take a look at it when you get time. #2362
< rcurtin> PrinceGuptaGitte: sounds good, thanks, I'll take a look when I'm able to
< himanshu_pathak[> Hey rcurtin: zoq I have added copconstructor in BRNN and RNN is working fine but BRNN is giving some wrong predictions
< himanshu_pathak[> And same problem with Dropconnect Layer only in windows an macos can you guys suggest. what may be the reason https://github.com/mlpack/mlpack/pull/2324
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< himanshu_pathak[> Ok I have solved the problem of BRNN I was not copying parameters of forwardRNN and backwardRNN. Not able to find the problem with Dropconnect Layer. I wiill try to find it.
< himanshu_pathak[> * So, I have solved the problem of BRNN I was not copying parameters of forwardRNN and backwardRNN. Not able to find the problem with Dropconnect Layer. I wiill try to find it.