I know that it's possible to export models as PMML
with Spark-MLlib
, but what about Spark-ML
?
Is it possible to convert LinearRegressionModel
from org.apache.spark.ml.regression
to a LinearRegressionModel
from org.apache.spark.mllib.regression
to be able to invoke the toPMML()
method?
You can convert Spark ML pipelines to PMML using the JPMML-SparkML library:
StructType schema = dataFrame.schema()
PipelineModel pipelineModel = pipeline.fit(dataFrame);
org.dmg.pmml.PMML pmml = org.jpmml.sparkml.ConverterUtil.toPMML(schema, pipelineModel);
JAXBUtil.marshalPMML(pmml, new StreamResult(System.out));
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