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

[Jeff Newmiller]

You could deploy a rocker image, possibly with an API (built with plumber). But I think it is misleading to refer to that as an executable.

On May 6, 2020 11:39:09 PM PDT, Paul Bernal <paulbernal07 using gmail.com> wrote:
>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.
>>

-- 
Sent from my phone. Please excuse my brevity.