[SPARK-21166] Automated ML persistence

• Type: New Feature
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Affects Version/s: 2.2.0
• Component/s: ML
• Labels: bulk-closed
• Assignee: Unassigned
• Reporter: Joseph K. Bradley
• Created: 21/Jun/17 21:07
• Updated: 08/Oct/19 05:43
• Resolved: 08/Oct/19 05:43

Description

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

Issue Links

• is blocked by: SPARK-15573 Backwards-compatible persistence for spark.ml