[jira] [Resolved] (SPARK-21166) Automated ML persistence

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-21166?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-21166.
----------------------------------
    Resolution: Incomplete

> Automated ML persistence
> ------------------------
>
>                 Key: SPARK-21166
>                 URL: https://issues.apache.org/jira/browse/SPARK-21166
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML
>    Affects Versions: 2.2.0
>            Reporter: Joseph K. Bradley
>            Priority: Major
>              Labels: bulk-closed
>
> This JIRA is for discussing the possibility of automating ML persistence.  Currently, custom save/load methods are written for every Model.  However, we could design a mixin which provides automated persistence, inspecting model data and Params and reading/writing (known types) automatically.  This was brought up in discussions with developers behind https://github.com/azure/mmlspark
> Some issues we will need to consider:
> * Providing generic mixin usable in most or all cases
> * Handling corner cases (strange Param types, etc.)
> * Backwards compatibility (loading models saved by old Spark versions)
> Because of backwards compatibility in particular, it may make sense to implement testing for that first, before we try to address automated persistence: [SPARK-15573]



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