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< UmarJ> I see that mlpack currently only has linear svm, and no support for kernels. Is it okay if I open an issue and start working on it? I understand it will need to be templated to use all kernels from mlpack/core/kernels.
< rcurtin> metahost: absolutely! :) it's always helpful to get more eyes on code
< rcurtin> UmarJ: definitely, that sounds good, the only thing is---if we add kernel SVM we should ensure that our implementation is as fast as (or hopefully faster than!) scikit and libsvm
< rcurtin> I think it shouldn't be hard to take a first pass at the implementation and then see how it compares, and we can improve it from there :)
< metahost> rcurtin: alright thanks!
< Param-29Gitter[m> @rcurtin Ya sure. I will be waiting for your response :)
< birm[m]> For anyone who's more active in academia, I'd love another perspective on mlpack pr 2207, which cites a paper which is currently double blinded. I'm not sure what to recommend regarding that.
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< tejasvi[m]> How to check if an element in armadillo is nan?
< tejasvi[m]> * How to check if an element in armadillo matrix is nan?
< tejasvi[m]> <tejasvi[m] "How to check if an element in ar"> Got it. elem == elem
< metahost> tejasvi: you can use has_nan() http://arma.sourceforge.net/docs.html#has_nan
< PrinceGuptaGitte> @matrixbot if you want to check a particular element to be nan, you can check like:
< PrinceGuptaGitte> `mat(i) == arma::datum::nan`
< PrinceGuptaGitte> Hope that helps
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< tejasvi[m]> metahost: it checks if nan exists in a matrix. I was looking to check for a specific element inside the matrix
< tejasvi[m]> freenode_gitter_prince776[m] : from docs, nan is not equal to itself either
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< PrinceGuptaGitte> @tstomar[m] I didn't see that was the case. Further reading documentation you can try std::isfinite(x)
< PrinceGuptaGitte> (edited) ... try std::isfinite(x) => ... try `std::isfinite(x)`
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< LakshyaOjhaGitte> hi @zoq can you please see the appveyor test it is stuck. https://github.com/mlpack/mlpack/pull/2174
< LakshyaOjhaGitte> Thanks.
< kartikdutt18Gitt> Hi @ojhalakshya , It is running.
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< zoq> birm[m]: What I dois to take a look at the paper and the comments, in this case the reviewers agreed that the method is good; but it's for sure difficult, especially if we aren't familiar with the topic.
< rcurtin> well, I thought that today would be my first day back at work after my vacation, but it turns out that it is a holiday in the US, so I think I will put my day into mlpack :)
< zoq> rcurtin: Have fun :)
< rcurtin> PrinceGuptaGitte: yeah, it would be great to solve that. however, I can see that it actually didn't get a good review
< rcurtin> so, let me review the code in its current state today, and we can see how close it is (and if khizir is interested in continuing the work)
< PrinceGuptaGitte> ok, thanks for your input.
< KhizirSiddiquiGi> rcurtin: yeah, I was waiting for someone to review and comment on it.
< kartikdutt18Gitt> Hi @rcurtin, @zoq, If you get a chance, I wanted to know your opinion on #2211
< rcurtin> KhizirSiddiquiGi: yeah, sorry about that, it must have fallen off my list somehow
< rcurtin> kartikdutt18Gitt: I'll see if I get to it today, no promises
< kartikdutt18Gitt> Great. Thanks.
< KhizirSiddiquiGi> rcurtin: Yeah, no problem. :)
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< rcurtin> uh-oh, looks like maybe we lost the bridges
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< ojasraundale> Hello! I am kind of new to open source community and really like to get into it and contribute too! Any tips or links on where to start?
< rcurtin> ojasraundale: hi there! check out this page: https://mlpack.org/community.html
< rcurtin> that should be helpful :)
< ojasraundale> rcurtin Thanxx :)
< rcurtin> sure :)
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< AbhinavvermaGitt> @zoq Hello Marcus, regarding project Idea - Application of ANN using mlpack I have some Ideas to discuss, where should I do that with the regarding mentors allocated to the project.
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< zoq> Abhinavverma: Hello, let's use the public mailing list, that way more people can jump in and provide feedback.
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< HimanshuPathakGi> @abhiverma1924 You can discuss it here
< zoq> Right here is fine as well.
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< AbhinavvermaGitt> @matrixbot @himanshupathak21061998 Sure.
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< rcurtin> ok, I set up mlpack-bot on the models repo also; now PR reviews will be required there and it will offer stickers to people
< zoq> rcurtin: Not sure that is easy, but is it possible to remove the "needs review" tag once the PR is closed?
< rcurtin> I think it should be easy... let me make a change and we can see if it works :)\
< rcurtin> I have been meaning to do it for a long time...
< zoq> Ohh, nice.
< AbhinavvermaGitt> As I have already mentioned above talking about project idea - Application of ANN using mlpack. my suggestion revolve around image dataset maintenance, as many project and researches are dependent on image data largely, but managing high dimension image can be really a headache and requires more resources as well. Also, not all images are clear or have a lack of details present, some contain an irrelevant watermark,
< AbhinavvermaGitt> some have fewer details or low in resolution, which should be managed. My ideas are to do all such things like converting low dimension images to the higher dimension and vice versa, removing unwanted details and watermarks, compressing and coloring of grey images and repairing the images to make the most use of it. And all these can be achieved by using different ANN.
< rcurtin> zoq: ok... I *think* it will work now. we'll see next time a PR is approved :)
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< AbhinavvermaGitt> while building mlpack through make command some error is occurring in the expansion of macros STBI_ASSERT and all other things are working fine, can someone help me out with this?
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