mlpack IRC logs, 2019-02-07

Logs for the day 2019-02-07 (starts at 0:00 UTC) are shown below.

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--- Log opened Thu Feb 07 00:00:52 2019
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04:12 -!- Topic for #mlpack: "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/
04:12 -!- Topic set by rcurtin [] [Mon Nov 12 22:39:13 2018]
04:12 [Users #mlpack]
04:12 [ ayesdie ] [ jenkins-mlpack2] [ petris ] [ ShikharJ ] [ vivekp]
04:12 [ govg ] [ KimSangYeon-DGU] [ rcurtin ] [ skrpl[m] ] [ xa0 ]
04:12 [ gtank___ ] [ lozhnikov ] [ robertohueso ] [ soonmok ] [ zoq ]
04:12 [ jenkins-mlpack] [ mrohit[m] ] [ shashank-b[m]] [ sumedhghaisas]
04:12 -!- Irssi: #mlpack: Total of 19 nicks [0 ops, 0 halfops, 0 voices, 19 normal]
04:12 -!- Home page for #mlpack: http://www.mlpack.org
04:12 -!- Channel #mlpack created Tue Oct 11 18:35:40 2011
04:12 -!- Irssi: Join to #mlpack was synced in 24 secs
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06:02 < rcurtin> oops, looks like docker is broken on masterblaster
06:02 < rcurtin> I'll see if I can fix it tomorrow
06:38 -!- Kunvar_thaman [75dcafe2@gateway/web/freenode/ip.117.220.175.226] has joined #mlpack
06:47 < Kunvar_thaman> Hi all! I'm Kunvar Thaman - an Electrical and electrical engineering sophomore and I'm working on the 'Essential Deep Learning modules' project
06:49 < Kunvar_thaman> So far I'm going through NN code, built MLPack and am exploring how to implement GANs first of all
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08:30 -!- niteya [~niteya@2402:3a80:564:f5ed:319b:8233:6448:9cfa] has joined #mlpack
08:36 < niteya> Hello , I am sorry if this is a bit theoretical but what is the formula of SGD with momentum ? The mlpack implementation follows the MIT book http://www.deeplearningbook.org/contents/optimization.html (Pg 293) but other online material - https://towardsdatascience.com/stochastic-gradient-descent-with-momentum-a84097641a5d , http://ruder.io/optimizing-gradient-descent/index.html#momentum . Many more resources show either of these two
08:36 < niteya> methods .
08:37 < niteya> shows subtracting velocity as well*
08:39 -!- niteya [~niteya@2402:3a80:564:f5ed:319b:8233:6448:9cfa] has quit [Quit: Leaving]
08:39 < jenkins-mlpack2> Project docker mlpack nightly build build #211: FAILURE in 3 hr 25 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/211/
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11:05 < zoq> rcurtin: Can we restart jenkins once more?
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12:13 < zoq> Kunvar_thaman: Hello and welcome, sounds like a good start, let us know if we should clarify anything.
12:17 < zoq> niteya: http://ruder.io/optimizing-gradient-descent/index.html#momentum describes the same idea, "It does this by adding a fraction γ of the update vector of the past time step to the current update vector:"
12:17 < zoq> niteya: We call the "update vector of the past time step" velocity, 'momentum * velocity' and momentum is the fraction term.
12:17 < zoq> niteya: Let me know if anything I said was helpful.
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13:58 < sumedhghaisas> zoq: Hey Marcus. Hows it going? I was thinking of mentoring a project fully focused on models repo. Trying to implement many NN applications. Would you be interested in co-mentoring this?
14:01 < sumedhghaisas> Currently there is only basic VAE on MNIST implemented by Atharva. Would be cool to have simple GANs modelling MNIST as well.
14:02 < zoq> sumedhghais: I'm in, there might be room for RL methods as well.
14:02 < sumedhghaisas> Great.
14:03 < sumedhghaisas> I will try to create an entry right now on projects page
14:03 < sumedhghaisas> and try to write down model ideas
14:04 < sumedhghaisas> but I am not sure which GAN implementations are already in so many you can update the list
14:04 < sumedhghaisas> and also RL
14:04 < sumedhghaisas> how many implementations do you think are reasonable?
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14:38 -!- Abhishek_Chakrav [0127f030@gateway/web/freenode/ip.1.39.240.48] has joined #mlpack
14:39 < Abhishek_Chakrav> Hi, I'm Abhishek. I would like to work with mlpack. I have already built mlpack and will start resolving issues soon. I'll post any queries I have here soon.
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14:56 < zoq> sumedhghais: I think that depends on the model itself, something like an inception network might take longer, so I guess the idea should reflect that.
14:57 < zoq> Abhishek_Chakrav: Hello and welcome, sounds good :)
14:57 < zoq> sumedhghais: I can add some RL ideas if you like.
14:59 < sreenik> Hello, I am new to this community and want to contribute to it. While trying to fix a bug, I realised that the documentation is not quite complete. I think I can discover faster if I work on the documentation for a while. However, are the python bindings adapted to python 3?
15:23 < zoq> sreenik: Hello, the python bindings should work with python3, travis does build against python and python3: https://travis-ci.org/mlpack/mlpack
15:43 < sreenik> Okay, that's nice
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17:06 -!- jenkins-mlpack2 [~PircBotx@knife.lugatgt.org] has quit []
17:06 < rcurtin> zoq: restarted
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17:54 < jenkins-mlpack2> Project docker mlpack nightly build build #212: ABORTED in 17 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/212/
18:10 < jenkins-mlpack2> Project docker mlpack nightly build build #213: ABORTED in 15 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/213/
18:12 < jenkins-mlpack2> Project docker mlpack nightly build build #214: ABORTED in 1 min 38 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/214/
18:17 < jenkins-mlpack2> Project docker mlpack nightly build build #215: STILL FAILING in 1 min 4 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/215/
18:19 < jenkins-mlpack2> Project docker mlpack nightly build build #216: STILL FAILING in 22 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/216/
18:21 < jenkins-mlpack2> Project docker mlpack nightly build build #217: STILL FAILING in 50 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/217/
18:24 < jenkins-mlpack2> Project docker mlpack nightly build build #218: ABORTED in 2 min 32 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/218/
18:25 < jenkins-mlpack2> Project docker mlpack nightly build build #219: STILL FAILING in 1 min 2 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/219/
18:51 < jenkins-mlpack2> Project docker mlpack nightly build build #220: STILL FAILING in 1 min 4 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/220/
18:54 < jenkins-mlpack2> Project docker mlpack nightly build build #221: STILL FAILING in 1 min 5 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/221/
19:09 < jenkins-mlpack2> Project docker mlpack nightly build build #222: STILL FAILING in 1 min 11 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/222/
19:23 -!- Rishabh [7afcff68@gateway/web/freenode/ip.122.252.255.104] has joined #mlpack
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19:32 < trancenoid> Hello everyone, I am Shivansh Beohar, I have set up mlpack on my windows pc and tried the sample app please suggest a starting point to get my hands dirty on mlpack.
19:36 < jenkins-mlpack2> Project docker mlpack nightly build build #223: ABORTED in 23 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/223/
19:46 < jenkins-mlpack2> Project docker mlpack nightly build build #224: ABORTED in 10 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/224/
19:54 < jenkins-mlpack2> Project docker mlpack nightly build build #225: ABORTED in 7 min 49 sec: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/225/
20:22 < zoq> rcurtin: Looks like we have the same problem as described here: https://groups.google.com/forum/#!topic/jenkinsci-users/--aquDzIA0Q
20:22 < zoq> rcurtin: Not sure it's feasible to use java 1.8?
--- Log closed Fri Feb 08 00:00:02 2019