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< yashwants19[m]> I have wrote a initial quick start example for the R bindings, Here is the "link" (https://github.com/Yashwants19/RcppMLPACK/issues/12) for the same. Kindly share your views.
< yashwants19[m]> Thank you
< yashwants19[m]> :)
< rcurtin> yashwants19[m]: really exciting how quickly the R bindings are progressing! :)
< rcurtin> I'm very excited; I think that the potential R userbase is pretty large---and with Dirk's and James' help advertising it, I think mlpack in R will be a hit :)
< abernauer[m]> I will make an effort to make some blog posts and spread the news about the package.
< rcurtin> that would be great; the more publicity we can make the better
< abernauer[m]> yashwants19: I have followed the progress over the summer and looks like your doing a great job.
< abernauer[m]> Rcpp is one of the most popular R packages too so if it appeals to just a fraction of the Rcpp crowd that's great.
< yashwants19[m]> <rcurtin "yashwants19: really exciting how"> All thanks to mentors.
< yashwants19[m]> <rcurtin "I'm very excited; I think that t"> I think so, Dirk is already on it
< rcurtin> 🚀
< yashwants19[m]> I found a video of him, in which he is talking about RcppMlpack
< rcurtin> I have no idea if that pasted right because my terminal doesn't show emojis
< rcurtin> it's supposed to be a rocket, which seems like an appropriate reaction to how cool this all is :-D
< abernauer[m]> yeah it was fine
< rcurtin> oh nice, I should watch this... maybe I will learn some important things I don't know about R
< abernauer[m]> rcurtin: Most of the Rcpp talks appeal to the R user base, but you might pick up on the Rcpp api.
< yashwants19[m]> May be it starts from 59:30 in the video.
< yashwants19[m]> <abernauer[m] "yashwants19: I have followed th"> Thank you abernauer
< yashwants19[m]> * Thank you abernauer
< yashwants19[m]> <abernauer[m] "Rcpp is one of the most popular "> Yeah i think so every eighth package on the cran is using Rcpp.
< yashwants19[m]> I am not sure about the figures.😅
< rcurtin> :)
< yashwants19[m]> <abernauer[m] "I will make an effort to make so"> This sounds awesome.
< abernauer[m]> Last time I remember checking the stats Rcpp was in the top five for downloads when it comes to R packages.
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< walragatver[m]> Hey birm: jeffin143: Hi
< jeffin143> Hi walragatver[m]
< walragatver[m]> jeffin143: I was quite busy for last two days.
< RyanBirminghamGi> Hello jeffin143!
< walragatver[m]> So I was not able to review the PR's
< jeffin143> Yeah no issues walragatver[m]
< jeffin143> I might need your help in debugging the issue with saving tsv
< walragatver[m]> Okay
< jeffin143> Other wise that PR is done, but I am not able to find the issue why it is not saving
< jeffin143> I was trying gdb through terminal
< jeffin143> but couldn't
< jeffin143> I have never used it
< jeffin143> I will try it out
< walragatver[m]> Does stb support saving .tab files?
< jeffin143> there is nothing else from side
< walragatver[m]> .tsv*
< jeffin143> No
< jeffin143> It's native support from mlpack
< walragatver[m]> jeffin143: Okay
< walragatver[m]> What's the error you are getting while saving it?
< jeffin143> [WARN ] Unable to determine format to save to from filename 'tensor.tsv'. Save failed.
< jeffin143> But the logic in mlpack code base is
< jeffin143> if the extension of file is .tsv then it saves
< jeffin143> may be I should try out there name
< jeffin143> may be some issue with name
< walragatver[m]> birm: Any idea's about this error?
< walragatver[m]> Okay jeffin143: What about the ensmallen callback design?
< jeffin143> it pretty easy, currently there is a callback with name printLoss
< jeffin143> we just have to pass a filewriter object to it
< jeffin143> that's it
< jeffin143> we can print the loss and accuracy that way
< walragatver[m]> Okay
< walragatver[m]> jeffin143: I saw that tensorflow supports other supports as well.
< jeffin143> yes like the image
< jeffin143> but how do we add that suppor
< jeffin143> I am not sure if we can determine that we are playing around with image
< jeffin143> We can add a flag like image=true in callback
< jeffin143> and that way we can log image too
< jeffin143> but like how would we pass the description or details about image
< walragatver[m]> jeffin143: Yes correct based on flags
< jeffin143> Ok
< jeffin143> Sound good
< jeffin143> walragatver[m], Let's merge all the three open pr before 3rd phase
< jeffin143> and then only 2 things would be remaining histogram and callback
< walragatver[m]> jeffin143: Why do we need description and stuff? I didn't get it.
< jeffin143> Correct we don't need it, my bad
< walragatver[m]> jeffin143: Okay let's merge those PR's
< jeffin143> It is optional, but we can distinguish based on step
< walragatver[m]> jeffin143: Just give a thought about adding other support.
< jeffin143> ok
< walragatver[m]> I wil give you reviews soon.
< jeffin143> thanks
< walragatver[m]> I am not sure whether birm is there or not.
< RyanBirminghamGi> Sorry, I'm behind on reviews
< RyanBirminghamGi> and I'm here, catching up. on a call at the same time
< walragatver[m]> birm: Oh okay no problem.
< walragatver[m]> birm: You can signoff now. Just let us know if you have anything to discuss afterwards.
< walragatver[m]> jeffin143: birm: I am signing off now. Take care.
< jeffin143> ok
< jeffin143> bye
< jeffin143> take care
< RyanBirminghamGi> Have a good night jeffin143 and walragatver
< RyanBirminghamGi> Let me know if there are any things you want special attention on
< jeffin143[m]> Sure Ryan Birmingham (Gitter)
< jeffin143[m]> Good night
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< himanshu_pathak[> Hey zoq: can you please terminate this build http://ci.mlpack.org/job/pull-requests%20mlpack%20memory/5875/ It is taking too much resources
< himanshu_pathak[> * Hey zoq: can you please terminate this build http://ci.mlpack.org/job/pull-requests%20mlpack%20memory/5875/ It is using too much resources
< zoq> himanshu_pathak[: done
< himanshu_pathak[> Thanks
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