Working with very large datasets and generating an executable file
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 at 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 mi?., 6 de mayo de 2020 6:22 p. m., Jeff Newmiller < jdnewmil at dcn.davis.ca.us> escribi?:
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 at 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
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