ML Runtimes Known Issues and Limitations
You might run into some known issues while using ML Runtimes.
Spark Runtime Add-on required for Spark 2 integration with Scala Runtimes
Scala Runtimes on CML require Spark Runtime Addon to enable Spark2 integration. Spark3 is not supported with the Scala Runtime.
DSE-17981 - Disable Scale runtimes in models, experiments and applications runtime selection
Scala Runtimes should not appear as an option for Models, Experiments, and Applications in the user interface. Currently Scala Runtimes only support Session and Jobs.
DSE-17228 Workbench completion broken in R Runtime session
Code completion does not work in the R Runtimes Workbench versions of the ML Runtimes current release.
Workaround: Downgrade to ML Runtimes 2021.02.
This issue is resolved in ML Runtimes 2021.09.
DSE-15020 Delay in availability of new ML Runtimes
Due to a race condition in fetching release information, newly created ML Runtimes might become available within 24 hours of a restart or newly created CML workspace.
DSE-14294 Models do not work with R runtimes
For the current release, models do not work with R runtimes.
This issue was resolved in ML Runtimes 2021.06.
DSE 14896 Spark not supported for R runtimes
For the current release, Spark is not supported for R runtimes.
R runtimes do not support Sparklyr or any package that depends on RJava.
This issue was resolved in ML Runtimes 2021.02.
DSE 14447 Some bugs present for R in the legacy engine persist in ML Runtimes
Some bugs that were present for R in the legacy engine persist in ML runtimes.