[R] Working with very large datasets and generating an executable file

[Paul Bernal]

Dear Jeff, an executable in terms of deploying a machine learning model,
whether it a classifocation, regression, time series or deep learning model.

Best regards,

Paul

El jue., 7 de mayo de 2020 1:22 a. m., Jeff Newmiller <
jdnewmil using dcn.davis.ca.us> escribió:

> There is no executable that can run on any OS. As for python... it is
> hardly the only game in town for building executables, but it and those
> other options are off topic here.
>
> On May 6, 2020 10:53:00 PM PDT, Paul Bernal <paulbernal07 using gmail.com>
> wrote:
> >Dear Jeff,
> >
> >Thank you for the feedback. So, after reading your comments, it seems
> >that,
> >in order to develop an executable model that could be run in any OS,
> >python
> >might be the way to go then?
> >
> >I appreciate all of your valuable responses.
> >
> >Best regards,
> >
> >Paul
> >
> >El mié., 6 de mayo de 2020 6:22 p. m., Jeff Newmiller <
> >jdnewmil using dcn.davis.ca.us> escribió:
> >
> >> Large data... yes, though how this can be done may vary. I have used
> >> machines with 128G of RAM before with no special big data packages.
> >>
> >> Making an executable... theoretically, yes, though there are some
> >> significant technical (and possibly legal) challenges that will most
> >likely
> >> make you question whether it was worth it if you try, particularly if
> >your
> >> intent is to obscure your code from the recipient. I (as a random
> >user and
> >> programmer on the Internet) would strongly discourage such efforts...
> >it
> >> will almost certainly be more practical to deliver code in
> >script/package
> >> form.
> >>
> >> On May 6, 2020 2:20:47 PM PDT, Paul Bernal <paulbernal07 using gmail.com>
> >wrote:
> >> >Dear R friends,
> >> >
> >> >Hope you are doing well. I have two questions, the first one is, can
> >I
> >> >work
> >> >with very large datasets in R? That is, say I need to test several
> >> >machine
> >> >learning algorithms, like (random forest, multiple linear
> >regression,
> >> >etc.)
> >> >on datasets having between 50 to 100 columns and 20 million
> >> >observations,
> >> >is there any way that R can handle data that large?
> >> >
> >> >The second question is, is there a way I can develop an R model and
> >> >turn it
> >> >into an executable program that can work on any OS?
> >> >
> >> >Any help and/or guidance will be greatly appreciated,
> >> >
> >> >Best regards,
> >> >
> >> >Paul
> >> >
> >> >       [[alternative HTML version deleted]]
> >> >
> >> >______________________________________________
> >> >R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> >> >https://stat.ethz.ch/mailman/listinfo/r-help
> >> >PLEASE do read the posting guide
> >> >http://www.R-project.org/posting-guide.html
> >> >and provide commented, minimal, self-contained, reproducible code.
> >>
> >> --
> >> Sent from my phone. Please excuse my brevity.
> >>
>
> --
> Sent from my phone. Please excuse my brevity.
>

	[[alternative HTML version deleted]]