You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2017/06/21 21:08:00 UTC
[jira] [Created] (SPARK-21166) Automated ML persistence
Joseph K. Bradley created SPARK-21166:
-----------------------------------------
Summary: 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
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]
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org