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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< 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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< 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?
< 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>
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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