NewSubmitted byfmonarion06-28-202110:27 AM
I am facing a problem wherein I need to create a custom R model in DSS because I can't find a corresponding algorithm in Python. While this can be done with code recipes, it is a bit inconvenient to track all the experiment necessary during model development. Thus I was thinking to use a fictitious python model, calling R in the background through packages like rpy2.
For cases like this, I think it would be great to have the possibility to build hybrid Python/R code environments and it should be not too difficult to modifying the building process of the Docker containers accordingly.
Maybe it could be possible to think at giving the possibility, as advanced option, to specify code environments as Docker files or images inheriting from dku-spark-base-teunrfbekcqtcymgo9jmomdg:dss-9.0.4.