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< abernauer> Writing a little function interface in an R script file. Taking a nap then, I while get back to that and finish that up this evening.
< rcurtin> sounds good, no hurry---enjoy your nap :) (maybe I need one too...)
< abernauer> Rcpp will generate the external c interfaces and call interfaces for R btw. Yeah sleep is key to productive output.
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< travis-ci> robertohueso/mlpack#16 (mc_kde_error_bounds - 0c02f25 : Roberto Hueso Gomez): The build has errored.
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< jeffin143> rcurtin : you there..?
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< jenkins-mlpack2> Project docker mlpack nightly build build #361: STILL UNSTABLE in 3 hr 29 min: http://ci.mlpack.org/job/docker%20mlpack%20nightly%20build/361/
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< rcurtin> jeffin143: yeah, I'm here now (but I know it is several hours later :))
< zoq> rcurtin: A push to the mlpack.org repo will not trigger the website build right? Just wanted to have the files from https://github.com/mlpack/mlpack.org/pull/8
< rcurtin> oh, hmm, let me check
< rcurtin> yeah, I guess it is built by hand... probably should make a Jenkins job for it
< zoq> okay, any chance to trigger it right now, or I guess I could also just manually download the files.
< rcurtin> yeah, I'm doing it now
< rcurtin> done---looks like you can find the files under https://www.mlpack.org/files/stb/
< zoq> thanks
< rcurtin> sure :)
< akhandait> sreenik[m]: Hey!
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< sreenik[m]> akhandait: Sorry for the late reply. Here's the link to my repo which I have created https://github.com/sreenikSS/mlpack-Tensorflow-Translator
< sreenik[m]> I'm currently working on the PR. It will hopefully be over by the end of tonight.
< sreenik[m]> I am going for dinner now, I'll be back in an hour or so. Please feel free to directly open an issue in the repo if you have any feedback :)
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< jeffin143> rcurtin : umm not sure if you remember, but for scaler class the API is call scale.fit() and then scale.transform()
< jeffin143> But if user calls transform () without it throws error since multiplication is not possible* and hence I have added a check , if the matrix is empty
< jeffin143> Inform user to call fit() first, not sure if this is the right way to handle
< jeffin143> Sorry typo : if user calls transform () without calling fit(), the api will break*
< rcurtin> jeffin143: right, agreed, that sounds good to me
< rcurtin> you *might* consider calling it Train() instead of Fit() so it matches the other mlpack classes (instead of imitating scikit), but I am not too picky
< jeffin143> I agree with you, train sounds much better
< jeffin143> Let's just go with train*
< rcurtin> sounds good
< rcurtin> :)
< akhandait> sreenik[m]: Great work, I will take a detailed look at it tomorrow.
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< sreenik[m]> akhandait: Sure
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< jeffin143> zoq : I hope, adding images to blog website is not of an issue, if is it , let me know , I will just give a link instead of Saving it in repo.
< zoq> jeffin143: Absolutely fine to add images to the repo.
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< gmanlan> hi there, anybody knows if we have CNN in mlpack? I believe I've seen something but I'm not sure...
< zoq> gmanlan: Yes, https://github.com/mlpack/models does have some examples
< sreenik[m]> jeffin143: I am personally a fan of Tom memes. Had a laugh there :)
< gmanlan> excellent, thanks!
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< abernauer> rcurtin: Having some issues with the compiler when I try to wrap mlpack main in external "C"{}.
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< rcurtin> abernauer: I can try and help but I would need more information
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< abernauer> Actually I might not need to take that approach. Working through getting it to be callable in R.
< rcurtin> note that from R you also will need to call all of the CLI::GetParam<> functions to set the CLI parameters that will be used by mlpackMain()
< rcurtin> wrapping those may be a little more tricky---but I am not sure as I'm not really familiar with Rcpp
< abernauer> Rcpp is cpp class that uses a lot of generic template programming.
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