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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2016/04/18 22:32:25 UTC
[jira] [Resolved] (SPARK-14440) Remove PySpark ml.pipeline's
specific Reader and Writer
[ https://issues.apache.org/jira/browse/SPARK-14440?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-14440.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12216
[https://github.com/apache/spark/pull/12216]
> Remove PySpark ml.pipeline's specific Reader and Writer
> -------------------------------------------------------
>
> Key: SPARK-14440
> URL: https://issues.apache.org/jira/browse/SPARK-14440
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Xusen Yin
> Priority: Trivial
> Fix For: 2.0.0
>
>
> Since the PipelineMLWriter/PipelineMLReader/PipelineModelMLWriter/PipelineModelMLReader are just extended from JavaMLWriter and JavaMLReader without other modifications of attributes and methods, there is no need to keep them, just like what we did in the save/load of ml/tuning.py.
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