mlpack IRC logs, 2018-03-13

Logs for the day 2018-03-13 (starts at 0:00 UTC) are shown below.

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--- Log opened Tue Mar 13 00:00:50 2018
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11:08 < rajiv_> I submitted a proposal yesterday night to mlpack via the proposals portal of GSoC. Is there a way to know if the proposal has been reviewed? Will I get a notification?
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11:16 < Prabhat-IIT> zoq: I had run the test of SAGA optimizer many times before the pr. The travis also passing the test but now when I'm locally running it the test won't pass. I thought since I've introduced some changes due to which tests are failing but even after moving the HEAD to the original commit when tests were passing didn't solved it
11:17 < Prabhat-IIT> Do you have any idea regarding this?
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12:36 < SuRyA> Hi. I've been busy with exams and everything, so I'm running a little late. I'm interested in the deep learning modules and need your input on which architecture to choose based on your requirements. I need to go through the literature and prepare the implementation
12:36 < SuRyA> I've already used ml pack been through your source code
12:47 < SuRyA> Didn't get time for PRs maybe I'll try sometime
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13:25 < zoq> Prabhat-IIT: I'll take a look at the PR once I get a chance.
13:25 < Erotokritos> Hello! I'm really interested in your project but I really have a hard time building on Windows can anyone help please?
13:25 < zoq> Erotokritos: Hello, have you seen: https://keon.io/mlpack-on-windows/?
13:26 < zoq> Erotokritos: On the other hand, I might be able to provide an updated version based on conda over the next days; which I think is easier.
13:26 < Erotokritos> Yeah , I tried that but cmake doesn't find boost libraries , then I moved them under Program Files and it found them but wouldn't recognize the version
13:26 < Erotokritos> The message said I have version 0.0.0
13:27 < zoq> hm, can you test an older version?
13:27 < SuRyA> Is the boost folder in path?
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13:28 < Erotokritos> I tried with latest version and with the code directly from master branch but sure I can try with a different one as well
13:28 < Erotokritos> You mean in the cmake command path?
13:29 < zoq> Erotokritos: I was talking about an older boost version.
13:29 < zoq> rajiv_: I think you get a notification if someone makes comments, but please be patient, the review process is timeconsuming.
13:29 < Erotokritos> Oh sure I'll try that thanks
13:31 < zoq> SuRyA: Hello, honestly go with the methods you find the most interesting.
13:31 < s1998_> zoq: Is it okay to discus API now ?
13:31 < s1998_> Specifically for RBFN I was planning on this API.
13:31 < s1998_> https://gist.github.com/s1998/0c1bc2442b02e374e59f5f85cec5e6f8
13:35 < zoq> s1998_:I'll comment on the gist.
13:35 < s1998_> okay :)
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16:32 < Prabhat-IIT> zoq: please see this also https://docs.google.com/document/d/189srfUeF_SHKnWcCoeTfr0Mo47mHIYFFQZObBrWLN68/edit?usp=sharing
16:49 -!- yashsharan [6741c40a@gateway/web/freenode/ip.103.65.196.10] has joined #mlpack
16:51 < yashsharan> Hello everyone I'm interested in the GSoC idea of Reinforcement learning.Since there are no open issues regarding this ,how should i contribute to make my proposal strong regarding this idea?Thanks
16:56 < zoq> yashsharan: Hello, there are multiple options; write an example something like: https://github.com/mlpack/models/tree/master/Kaggle; improve/extend an existing method; write another test environment
16:58 < zoq> Prabhat-IIT: If this pops up in the dashboard, I'll take a look at the application once I get a chance.
17:14 < yashsharan> ok thanks.And does the example should be related to reinforcement learning only or some other neural network topics like CNN can be written?
17:17 < zoq> If you are interested in the rl project idea, it should be related.
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17:18 < yashsharan> ohh i see.So maybe I can pickup a topic like policy gradient which is not mentioned in the idea and try to make a model regarding that topic?
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17:28 < zoq> sounds good
17:29 < bhuwnesh> Hello
17:31 < bhuwnesh> I found that the field of Self-organizing maps is left untouched. Can I choose that field as a project for GSoC?
17:32 < yashsharan> ok.I will start working on the idea right away.Thank you.
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17:50 < Prabhat-IIT> zoq: Thanks :) but I don't know what it means by ' popping in dashboard' :sweat_smile:
17:52 < rcurtin> bhuwnesh: you are welcome to put together a proposal but I am not sure anyone will be interested in mentoring that unfortunately
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18:05 < manish7294> Prabhat-IIT: I think @zoq is probably referring to the draft you have shared or will be sharing with mlpack via gsoc dashboard :)
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18:37 < travis-ci> BanzaiMan/mlpack#1 (master - 7dd5d95 : Ryan Curtin): The build has errored.
18:37 < travis-ci> Change view : https://github.com/BanzaiMan/mlpack/compare/3d76448064a9e08fe2f8fa27bc9a1303fce895e1...7dd5d95048a208873c054aba219922c3aa7eba0a
18:37 < travis-ci> Build details : https://travis-ci.org/BanzaiMan/mlpack/builds/352963941
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18:48 < rcurtin> zoq: looks like everything is good now, the authors are correctly displayed on the built doxygen docs: http://mlpack.org/docs/mlpack-git/doxygen/lrtutorial.html
18:48 < rcurtin> also I am a little confused why BanzaiMan from travis-ci is building packages
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19:01 < sourabhvarshney1> @zoq @Iozhinkov I saw the GSoC ideas page of mlpack and found deep learning methods interesting
19:03 < sourabhvarshney1> I want to work on RBFN and BRN
19:03 < sourabhvarshney1> I think Shikhar is working on the other ones
19:04 < sourabhvarshney1> @zoq @Iozhinkov Any Suggestions
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19:11 < travis-ci> BanzaiMan/mlpack#2 (master - 7dd5d95 : Ryan Curtin): The build has errored.
19:11 < travis-ci> Change view : https://github.com/BanzaiMan/mlpack/compare/3d76448064a9e08fe2f8fa27bc9a1303fce895e1...7dd5d95048a208873c054aba219922c3aa7eba0a
19:11 < travis-ci> Build details : https://travis-ci.org/BanzaiMan/mlpack/builds/352977284
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19:34 < zoq> rcurtin: agreed, looks great
19:34 < zoq> rcurtin: About travis-ci I think if you clone the repo and also setup a travis account with the setting build all my repos, you end up in this situation
19:35 < zoq> we could ask him, to disable the notification
19:36 < rcurtin> nah, I don't mind, I think maybe he is testing something or something like this
19:36 < rcurtin> I wonder if he is trying to reproduce the xenial issues, but the travis configuration isn't right for that
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20:02 < Prabhat-IIT> manish7294: Aah okay thanks :)
20:12 < zoq> rcurtin: https://github.com/travis-ci/travis-ci/issues/9127#issuecomment-371642922
20:12 < zoq> rcurtin: I guess he is looking into the issue
20:13 < zoq> rcurtin: Do you commit the mlpack.org path change, or should I?
20:15 < rcurtin> I'll handle it, hang on
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20:28 < mayank98> Can somebody guide me to participate gsoc 2019?
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20:28 < rcurtin> mayank98: do you mean gsoc 2018?
20:30 < mayank98> Actually no , Because I know I have not contributed enough not even been active on mlpack github or anywhere till now
20:31 < mayank98> But It's fascinating me now and really want to be a core developer im few projects
20:31 < mayank98> in*
20:32 < rcurtin> well, it is not yet known if GSoC 2019 will even happen or if mlpack will apply or be selected, but in any case, probably http://www.mlpack.org/involved.html and http://www.mlpack.org/gsoc.html are good places to start
20:37 < mayank98> Thank you sir
20:45 < zoq> sourabhvars: Sorry for the slow response, the models on the ideas page are suggestions, so feel free to propose something different; if you like to go with RBFN and BRN that's also just fine. A good start would be to dive into the existing ann codebase e.g. run the tests, create another model.
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--- Log closed Wed Mar 14 00:00:51 2018