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https://issues.apache.org/jira/browse/SPARK-21542?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ajay Saini updated SPARK-21542:
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Component/s: (was: ML)
> Helper functions for custom Python Persistence
> ----------------------------------------------
>
> Key: SPARK-21542
> URL: https://issues.apache.org/jira/browse/SPARK-21542
> Project: Spark
> Issue Type: New Feature
> Components: PySpark
> Affects Versions: 2.2.0
> Reporter: Ajay Saini
>
> Currnetly, there is no way to easily persist Json-serializable parameters in
> Python only. All parameters in Python are persisted by converting them to
> Java objects and using the Java persistence implementation. In order to
> facilitate the creation of custom Python-only pipeline stages, it would be
> good to have a Python-only persistence framework so that these stages do not
> need to be implemented in Scala for persistence.
> This task involves:
> - Adding implementations for DefaultParamsReadable, DefaultParamsWriteable,
> DefaultParamsReader, and DefaultParamsWriter in pyspark.
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