Comments (2)
@ngpc-sonae you need to make sure both jars pmml4s-spark_2.12-0.9.15.jar
and pmml4s_2.12-0.9.15.jar
of PMML4S in the classpath, you could run the script link_pmml4s_jars_into_spark.py
or specify them using the parameter of spark, see README of this project: https://github.com/autodeployai/pypmml-spark
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@scorebot thanks for the quick reply. Will try. My bad for not seeing the README to the end.
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Related Issues (8)
- java.io.NotSerializableException: org.pmml4s.transformations.FieldColumnPair #1 HOT 2
- Potential dependency conflicts between pypmml-spark and py4j HOT 4
- Output unmatch between jpmml and pypmml HOT 11
- NoClassDefFoundError: scala/Product$class HOT 5
- this tool only support pyspark<3.0 ? when i was trying using ScoreModel.fromFile("{"file_path}"), an Error called """TypeError: 'JavaPackage' object is not callable""" ocurred HOT 6
- It couldn't output raw prediction probability. HOT 12
- TypeError: 'JavaPackage' object is not callable error despite linking jars into spark succesfully HOT 6
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