The last time I tried putting a REST API in front of my predictive model, I used plumbr. I also then learned that the R runtime was single threaded, so that onl

The last time I tried putting a REST API in front of my predictive model, I used plumbr. I also then learned that the R runtime was single threaded, so that only 1 request could be processed at a time. I don’t know how you can overcome this, and it makes things significantly difficult to put into a real production environment. I’m sure someone will chime in that there are different runtimes, like Microsoft’s (does this run on MacOS? If not, how can I use it to develop and test on my laptop) or some expensive RStudio solution. The fact is you have none of those problems in e.g., Python. Although I would prefer to use Caret for many predictive modeling tasks, it is non-trivial to take the R runtime to production. That was what I walked away with.