mlpack IRC logs, 2018-02-04

Logs for the day 2018-02-04 (starts at 0:00 UTC) are shown below.

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--- Log opened Sun Feb 04 00:00:57 2018
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08:27 < addy> Hey, I'm new to open source, I have some experience coding programs in c++ (Mostly competitive programming problems), can someone guide me where do I start? :P
08:40 -!- sameeran [3123648f@gateway/web/freenode/ip.49.35.100.143] has joined #mlpack
08:41 < sameeran> hi
08:42 < sameeran> i need help where to start from
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12:30 < sam___> hey anyone i am getting problem for this line mlpack_fastmks --help as ----segmentation fault
12:30 < sam___> please cananyyone help me
12:34 -!- rayl [8bd8a4f7@gateway/web/freenode/ip.139.216.164.247] has joined #mlpack
12:37 < rayl> I installed mlpack on my macOS from source code, but it cannot use command line. The error shows that "dyld: Library not loaded: @rpath/libhdf5.101.dylib Referenced from: /usr/local/lib/libarmadillo.8.dylib Reason: image not found Abort trap: 6"
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14:09 < zoq> ImQ009: Good point, it's on my list to adjust the NLL layer to use 0 labels as input.
14:11 < zoq> ImQ009: Currently you have to create a datastream data, but adding a Predict that works with streaming data could be added, if that would makes things easier for you.
14:12 < zoq> vmg27: Good to know, I think boost will fix the issue in the upcoming version.
14:14 < zoq> dungeon_master: You could disable exlude the command line executables from the build process by adding -DBUILD_CLI_EXECUTABLES=OFF to the cmake command.
14:16 < zoq> dungeon_master: Not sure about the Clion IDE, maybe they do some extra steps in the backgroud? I think they use the same cmake file to configure the build process.
14:17 < zoq> addy: sameeran: http://www.mlpack.org/involved.html and mlpack.org/gsoc.html is a good point to start.
15:30 < ImQ009> zoq, I see, thank you for clarifying this. As for the data stream. I'm not entirely sure how it's handled underneath so I'd like to ask you the following
15:30 < ImQ009> Should the rho (and consequently, the amount of timesteps in streamed data) during prediction be the same as during training?
15:31 < ImQ009> Or can I set it to 1 for the purpose I explained earlier?
16:20 < zoq> Currently it has to be the same.
16:25 < ImQ009> Okay. That would explain unexpected results
16:25 < ImQ009> All clear now :)
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--- Log closed Mon Feb 05 00:00:58 2018