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/
< PrinceGuptaGitte> I just saw now that convolution also take 2D inputs of dim (num samples, num features) and not 3d or 4d like(num samples, channels, width, height) like in keras.
< PrinceGuptaGitte> I was thinking it's a little odd, but it's also easier to maintain 2d tensors(mat)
< PrinceGuptaGitte> (Num features, num samples) *
< birm[m]1> Is masterblaster port 5005 down intentionally/known?
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< Rudra> Hello,
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< TanayMehtaGitter> I have a question, I know there are Neural nets in mlpack, but they should have something for automatic differentiation (like autograd for Pytorch) but I don't have any directions,
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< GauravSinghGitte> Hi, @heytanay you can have look at [this](http://ensmallen.org/docs.html#differentiable-functions).
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< TanayMehtaGitter> @gaurav-singh1998 thanks for the link! I had no idea something like this existed in cpp
< SaraanshTandonGi> Also the exports to be done for LD_LIBRARY_PATH and PYTHONPATH in the end have been mentioned under the heading "Using mlpack without installing", whereas i needed to do it anyways.
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< Nakul[m]> I think you don't need to master oop concept but basic are enough to get through the code and also.. template is very important.So I would suggest go through some online resources for that.
< Nakul[m]> Opting any easy issue and solving will clear lots of concept and workflow of the codebase
< Nakul[m]> And that's important
< SaraanshTandonGi> Thanks.
< SaraanshTandonGi> Could you please confirm the reproducability of the above problems cause i see someone has created an issue for a similar problem.
< SaraanshTandonGi> I would love to get started with a documentation PR to give me a morale boost.
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< GauravSinghGitte> I don't know if this would be helpful but these are some of the articles I referred on the internet for the C++ concepts, [for C++ templates](https://www.codeproject.com/Articles/257589/An-Idiots-Guide-to-Cplusplus-Templates-Part-1), [for getting to know what is SFINAE](https://eli.thegreenplace.net/2014/sfinae-and-enable_if/), [for C++
< GauravSinghGitte> metaprogramming](https://discourse-production.oss-cn-shanghai.aliyuncs.com/original/3X/0/0/00329b35761ebb8cefec388d4423481dc836486f.pdf). I think you should start with the good first issues like [this](https://github.com/mlpack/mlpack/issues/2230) and learn side by side. Thanks.
< GauravSinghGitte> Hi, @saraansh1999 I don't know if this would be helpful but these are some of the articles I referred on the internet for the C++ concepts, [for C++ templates](https://www.codeproject.com/Articles/257589/An-Idiots-Guide-to-Cplusplus-Templates-Part-1), [for getting to know what is SFINAE](https://eli.thegreenplace.net/2014/sfinae-and-enable_if/), [for C++
< GauravSinghGitte> metaprogramming](https://discourse-production.oss-cn-shanghai.aliyuncs.com/original/3X/0/0/00329b35761ebb8cefec388d4423481dc836486f.pdf). I think you should start with the good first issues like [this](https://github.com/mlpack/mlpack/issues/2230) and learn side by side. Thanks.
< TanayMehtaGitter> I am facing 2 problems in building from source. 1. I have armadillo installed but it need version 8.400 and above. 2. When trying to install libensmallen-dev and libstb-dev, it says "unable to locate"
< TanayMehtaGitter> I'm using Ubuntu 18.04 and trying to build mlpack 3.2.2
< PrinceGuptaGitte> Hi @heytanay , uninstall libarmadillo-dev through apt-get as it installed lower version than required
< SaraanshTandonGi> remove the version of armadillo installed by apt-get and build it from source using their official documentation.
< SaraanshTandonGi> You can skip on libensmallen-dev and libstb-dev, CMake will automatically install them
< PrinceGuptaGitte> Just like he said then build the appropriate version from source
< SaraanshTandonGi> I think it would be helpful to mention these small details in the documentation as they would avoid a lot of confusion for new people like me and would make the setup process a lot smoother
< PrinceGuptaGitte> Yeah I agree.
< SaraanshTandonGi> I'll try to write up a few modifications to the text. Things to include:
< SaraanshTandonGi> 1. Remove the armadillo library from the code snippet of apt-get, and add a line instructing to build it from source with a link.
< SaraanshTandonGi> 2. Remove libensmallen and libstb from the code snippet of apt-get informing about the flag that is by default set and handles the installation of these two automatically.
< TanayMehtaGitter> @saraansh1999 Good idea, Can I take on this small work? I want to get started contributing ASAP in any way possible. I will write both these points in `Building Mlpack from` source section on Github? What do you say?
< TanayMehtaGitter> (edited) ... Mlpack from` source section ... => ... Mlpack from source` section ...
< TanayMehtaGitter> @prince776 will try that rn
< SaraanshTandonGi> @heytanay actually it will be my first contribution too. So I would like to work on it. :)
< TanayMehtaGitter> @saraansh1999 Go ahead! All the best!
< SaraanshTandonGi> @heytanay Thanks a lot mate!
< TanayMehtaGitter> I'm doing `make` for mlpack on Linux and it's occasionally throwing some deprecation warnings (mostly with Numpy) is that normal?
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< SakshamRastogiGi> @heytanay I face the same warnings on Mac
< TanayMehtaGitter> @codeboy5 I believe it's okay as long as it's not throwing an error!
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< susanna> Hello everyone!
< PrinceGuptaGitte> Hi everyone, can anyone who has good understanding of `ann` codebase help me with a doubt.
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< PrinceGuptaGitte> Hi everyone, I'm facing an issue I can't resolve.
< PrinceGuptaGitte> The problem is I'm calling `boost::apply_visitor(outputWidthvisitor,network[0])` and I'm making sure there is getter `OutputWidth()` in the layer being visited. However it always returns 0. What could be the problem?
< PrinceGuptaGitte> I tried
< PrinceGuptaGitte> (edited) ... I tried => ... I tried to dodge it but using `ouputParameterVisitor` but the matrix it returns also shows 0 elements.
< KhizirSiddiquiGi> @prince776 : Many a times you need to train the layer one epoch at least to get the outputwidth parameter, if I am not wrong. I tried doing this summary thing quite a while ago.
< KhizirSiddiquiGi> Similar for `outputParameter` also.
< PrinceGuptaGitte> Oh thanks for the information. Do you have any idea what is the reason behind this
< PrinceGuptaGitte> Ohhh I understand now why it must be the case
< PrinceGuptaGitte> Thanks a lot. @khizirsiddiqui . I can finally progress.
< KhizirSiddiquiGi> :thumbsup: Do it bro, xD one really needs that feature sometimes.
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< vroom_coder> Hey, I am new here !
< KhizirSiddiquiGi> Hey vroom_coder!
< vroom_coder> I got to know about mlpack from GSOC and wish to contribute
< KhizirSiddiquiGi> You could look at these links for a start: https://www.mlpack.org/gsoc.html and https://www.mlpack.org/community.html
< KhizirSiddiquiGi> Ask here / mailing lists to clear if you have doubts. :)
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< vroom_coder> Thanks for the links! I will follow the steps.
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< vroom_coder> In the Essential Deep Learning Modules project, what are the other algorithms that are expected?
< aadarsh-as> hi i am a 2nd year undergrad student looking forward to work on reinforcement learning project under gsoc is there someone i can turn to for guidance
< vroom_coder> I want to contact Sreenik Seal. How can I do that?
< SriramSKGitter[m> @vroom_coder: Just ping him here with what you'd like to ask. He'll eventually get around to answering your query :)
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< kartikdutt18Gitt> Hi @aadarsh-as, take a look at https://www.mlpack.org/gsoc.html and https://www.mlpack.org/community.html .
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< zoq> vroom_code: as mentioned in the wiki, "it is probably not a great idea to contact mentors directly [...]", better to use the public channels
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< travis-ci> coatless/ensmallen#8 (require-history-entry - 09291ce : James Balamuta): The build has errored.
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