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 wrote:
>Dear Jeff, an executable in terms of deploying a machine learning
>model,
>whether it a classifocation,
That could be the answer, yes.
El jue., 7 de mayo de 2020 1:22 a. m., escribió:
> Or maybe a Shiny Application?
>
> On 7 May 2020 06:53, Paul Bernal wrote:
>
> Dear Jeff,
>
> Thank you for the feedback. So, after reading your comments, it seems
> that,
> in order to develop an executable model
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 <
jdnew...@dcn.davis.ca.us> escribió:
> There is no executable that can
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 wrote:
>Dear Jeff,
>
>Thank you for the feedback. So, after reading your co
Thank you Abby!
Cheers!
El mié., 6 de mayo de 2020 10:35 p. m., Abby Spurdle
escribió:
> > 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?
>
> --myrscript.c
> int main (int argc, char* argv [])
>
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.,
> 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?
--myrscript.c
int main (int argc, char* argv [])
{ system ("Rscript myrscript.r");
return 0;
}
-
command line > gcc -o myrs
To supplement Jeff's comments:
Big Data:
https://CRAN.R-project.org/view=HighPerformanceComputing
To deploy models:
https://cran.r-project.org/web/views/ModelDeployment.html
Opinion: Executables are a security risk. I wouldn't touch one unless
from a trusted source. I think I understand what you
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
questio
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