Player 2 has entered the game: R data science for workbench and model creation

[sarabanderby]

HARK!

To show the true power and MLOpsiness of RHOAI, a second language data science shall be built using R. Reusing the same workflow.
Showing the awesomness and agnosticness of RHOAI.

For too long, there has been no R tutorials for my people. For too long, the language of insight has been quiet, its strength hidden. Now we shall build anew: models refined, pipelines whole, analyses strong. The time has come again to make a new a chapter! There may come a day when the statistics fail, the monitoring alert fires and dependencies break, BUT IT IS NOT THIS DAY. This day WE CODE. ⌨️

Of course I volunteer as tribute in making the datascience 💃 ❤️

@ckavili @rcarrata @RHRolun

[ckavili]

I think we can have a chapter for it, showing how we can onboard a different type of workload and the majority of the process stays the same, apart from building the model bits. We just need a fun use case with the same or similar data:)

[RHRolun]

If we wanted to interweave it into the current flow we could have for example the model request script be in R, so that R isn't just another chapter at the end, just need to be careful it doesn't get too jumpy between workbenches. The Feast or Metrics section could potentially be R as well but I don't know the R support for those libraries.
Hmm, or it could be a "here there be dragons" in the inner loop chapter for those curious to run one or two of those scripts in R instead of in Python :)

[ckavili]

having it as "here be dragons" in the inner loop and generating similar artifacts in the inner loop is also a good idea. I like it!

[sarabanderby]

"Here be dRagons" sounds good to me!

@RHRolun Not finding any packages for feast in R. Will have a harder look around, or see if I can make my own wrapper. Let see.