You can always use the ml libs in R, but you have to integrate them in
sparkr (= make all the logic to run in parallel etc). However, for your use
case it may make more sense to write the wrapper R mllib yourself, if the
project cannot provide it in time. It is not that difficult to call java or
sc
Hi Spark Experts,
We are trying to streamline the development lifecycle of our data
scientists taking algorithms from the lab into production. Currently the
tool of choice for our data scientists is R. Historically our engineers
have had to manually convert the R based algorithms to Java or Scal
