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At the same time there are companies in which there's R code running in production to serve ML results in real time. No idea how common it is, but I've worked f
by s1t5 6y ago
At the same time there are companies in which there's R code running in production to serve ML results in real time. No idea how common it is, but I've worked for such a company. My point is that R isn't just for scripting and interactive use even if that's its best use case.
- deleted 6y ago[deleted]
- meztez 6y agoA plumber in front of your ML serving function running in a docker container. There, simple, fast enough. We have multiple R containers in production, it is working fine and the data scientist are happy that they can keep working in RStudio.