mlpack IRC logs, 2017-03-11

Logs for the day 2017-03-11 (starts at 0:00 UTC) are shown below.

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--- Log opened Sat Mar 11 00:00:37 2017
00:01 < AndChat493044> Yes zoq the ann is what i thought of ..
00:01 < AndChat493044> And u knw what .. when i installed mlpack through the ubuntu package install cmd
00:01 < AndChat493044> Mlpack gets installed without ann Library
00:02 < AndChat493044> Its strange .. ill install it through the regular download way
00:03 < zoq> AndChat4930: yeah, we are still working on the ann code, so it's not part of the latest release.
00:03 < AndChat493044> Oh ohkae :)
00:03 < AndChat493044> Yes .. ill open a PR
00:04 < zoq> AndChat4930: Looking forward to take a look :)
00:04 < AndChat493044> So now what to do about the Mario implementation?
00:05 < AndChat493044> And yes .. ive set again everything .. the nes code, fceux , etc and ran the mario implementation too.. cant wait to run mine..
00:06 < AndChat493044> The moment ill figure out the cov matrix thing .. ill be good to go ..
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00:08 < zoq> AndChat493044: I would first test it on some easier tasks like the CartPole or DoubleCartPole task once we see some reasonable results, we can can test it on the Mario task.
00:08 < zoq> Also, we recently switch to OpenAI's Gym framework, that makes the setup a lot easier: https://github.com/zoq/gym_tcp_api
00:09 < zoq> And we can test it on a bunch of different tasks.
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00:11 < AndChat493044> I'm writing the long one only .. using your ann .. sry cant wait :D
00:11 < zoq> AndChat4930: :)
00:12 < AndChat493044> Btw zoq . . Is the documentation present for it ?
00:12 < zoq> For the ann code?
00:13 < AndChat493044> Yes
00:14 < zoq> That's one part that isn't done yet .. .working on it. For now you can take a look at the tests, and I guess if you open the PR, together we can transform the code into something useful based on the ann code really fast.
00:15 < zoq> https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/feedforward_network_test.cpp
00:15 < zoq> https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/convolutional_network_test.cpp
00:15 < zoq> https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/recurrent_network_test.cpp
00:15 < AndChat493044> Ohkae zoq :)
00:19 < zoq> kris1: Here is the modified CMake file: https://gist.github.com/zoq/1810dcd8261078fe35dd118d454f229b also take a look at the comment.
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03:51 < rcurtin> today, March 11, is the 10-year anniversary of the first commit to the mlpack repository
03:53 < arunreddy> wow.. congratulations!!
03:54 < arunreddy> Happy 10th anniversary mlpack.!
03:57 < rcurtin> yeah, I was not here at the beginning, I first worked with mlpack in late 2009
03:57 < rcurtin> it has changed a lot from what it was in 2007 and 2008...
03:57 < arunreddy> where did it start? Was it from gatech?
03:58 < rcurtin> yeah, it was from Alex Gray's lab (he was one of my advisors)
03:58 < rcurtin> the focus was on dual-tree algorithms and fast implementations of machine learning algorithms
03:58 < rcurtin> so the "main selling point" of the library was the all-k-nearest-neighbors code and kernel density estimation code
03:59 < rcurtin> since then it's moved to be a more general library, but the emphasis on speed remains
04:01 < arunreddy> i think the fast implementations of ml algos was your contribution. I saw that on your cv..
04:01 < arunreddy> "Understand an algorithm, Make it faster."
04:03 < rcurtin> well, that is what I like to do, but many of the original fast implementations were not mine :)
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05:04 < shihao> Suddenly this build error comes: /Users/shihaojing/Projects/mlpack/src/mlpack/../mlpack/prereqs.hpp:75:10: fatal error: 'boost/serialization/serialization.hpp' file not found.
05:05 < shihao> I can build it successfully before I pull some changes from master branch.
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05:10 < rcurtin> shihao: did you update any packages on your system or anything? maybe re-running CMake is needed (possibly even removing CMakeCache.txt from the build directory then reconfiguring)
05:10 < mikeling> zoq: oh, sorry! I somehow miss this message yesterday. Which message? I haven't solved the issue
05:10 < rcurtin> in either case I am headed to bed, so I won't be able to help further, sorry---I'll answer a question if there is one when I wake up
05:10 < mikeling> rcurtin: good night ;)
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05:18 < shihao> rcurtin: Somehow I have to re-clone my remote base :(
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05:51 < etotientz> Hello world !!
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06:59 < tash> hello, I was trying to build mlpack, I have some directory not found errors, causing compilation termination.
07:00 < tash> I'm getting this-
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09:38 < kris1> zoq: look at my comment https://gist.github.com/zoq/1810dcd8261078fe35dd118d454f229b
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11:25 < s1998> Hi, can anyone please take a look at this, I am unable to figure out where the bug is ?
11:25 < s1998> http://pastebin.com/1Ke1gRLe
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12:58 < zoq> rcurtin: 10 years ... wow
12:59 < zoq> mikeling: It's at 16:09 : http://www.mlpack.org/irc/mlpack.20170309.html
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13:09 < mikeling> zoq: Oh, I found it. But why I should use 'FitnessFunction::template Evaluate<UseWeights>(...)' instead?
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13:18 < mikeling> zoq: Ah, it works! No error been reported :) But why? I don't know the reason I should add 'template' after FitnessFunction...
13:18 < mikeling> could you please tell me that?! Thank you!
13:19 < zoq> mikeling: It's because the compiler can't figure out whether the name is a template or not when parsing the code, for more information take a look at 14.2/4 http://www.open-std.org/jtc1/sc22/wg21/docs/papers/2013/n3690.pdf
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13:21 < zoq> kris1: Strange can you remove the build folder an try again, even if the path is invalid it should still configure the project without any complaints.
13:30 < mikeling> zoq: ah, I see! I will read that pdf you give to me. It's awesome!
13:30 < mikeling> Thank you very much
13:31 < mikeling> that's the reason why I love open-source ;)
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21:43 < kris1> zoq: it works now i also added options so that it works with gdb now.
22:21 < kris1> zoq: model.predict always gives zeros values.
22:21 < kris1> i intialized the network parametes with random init stil its giving 0
22:22 < kris1> when i try with forward visitor on many layers incompatile matrix dimension 0x0 is coming.
22:23 < kris1> here is the gist
22:23 < kris1> https://gist.github.com/kris-singh/54cc569b984e3c3f3bf85f7f58fdfc87
22:51 < kris1> if i change the second last layer to from model.Add<Linear<> >(hiddenLayerSize, 1) to model.Add<Linear<> >(hiddenLayerSize, 2); i do get some values.
22:51 < kris1> but my last layer is model.Add<LogSoftMax<>>(); so all my values should be between 0-1 which is not the case
22:57 < kris1> okay now i see the problem lies with use of softmax. hiddenLayerSize,1 works but without the softmax layer.
--- Log closed Sun Mar 12 00:00:38 2017