Is it possible to export models as PMMLs using PySpark? I know this is possible using Spark. But I did not find any reference in PySpark docs. So does this mean that if I want to do this, I need to write custom code using some third party python PMML library?
It is possible to export Apache Spark pipelines to PMML using the JPMML-SparkML library. Furthermore, this library is made available for end users in the form of a "Spark Package" by the JPMML-SparkML-Package project.
Example PySpark code:
from jpmml_sparkml import toPMMLBytes
pmmlBytes = toPMMLBytes(sc, df, pipelineModel)
print(pmmlBytes)