Mojo Scoring Docs shows the need for Driverless AI. But it is not clear that MOJO Scoring Pipelines are only from DAI (since H2O OS can produce MOJOs as well).
MOJO scoring pipeline, created in Driverless AI, artifacts can be used in Spark to carry out predictions in parallel using the Sparkling Water API. This section shows how to load and run predictions on the MOJO scoring pipeline in Spark using Scala and the Python API.
In order to (<- typo fix needed) use the MOJO scoring pipeline, Driverless AI license has to be passed to Spark. This can be achieved via --jars argument of the Spark launcher scripts.
Note: In Local Spark mode, please use --driver-class-path to specify path to the license file.