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 2016/01/29 18:22:39 UTC
[jira] [Updated] (SPARK-13032) Basic ML Pipeline export/import
functions for PySpark
[ https://issues.apache.org/jira/browse/SPARK-13032?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Joseph K. Bradley updated SPARK-13032:
--------------------------------------
Assignee: Yanbo Liang
> Basic ML Pipeline export/import functions for PySpark
> -----------------------------------------------------
>
> Key: SPARK-13032
> URL: https://issues.apache.org/jira/browse/SPARK-13032
> Project: Spark
> Issue Type: Sub-task
> Components: ML, PySpark
> Reporter: Yanbo Liang
> Assignee: Yanbo Liang
> Fix For: 2.0.0
>
>
> * Implement Basic ML Pipeline export/import functions(MLWriter/MLWritable/MLReader/MLReadable) for PySpark.
> * Making LinearRegression to support save/load as example. After this merged, the work for other transformers/estimators will be easy, then we can list and distribute the tasks to the community.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org