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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:
-------------------------------
    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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