Let's try a slightly different tool, that might help us in real-life deployments. It is often useful to try different tools in the ever-growing data science landscape, if only for sanity0-check purposes.
H2O is an open source software for doing big data analytics. The young start-up (founded in 2016) counts with top researchers in mathematical optimization and statistical learning theory on their advisory board. It runs in standard environments (Linux/Mac/Windows) as well as big data systems and cloud computing environments.
You can run H2O in R, but you need to install the package first:
install.packages("h2o")
Once this is done, you can load the library:
library(h2o)
You will then see a welcome message, among some ...
