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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-14440) Remove PySpark ml.pipeline's specific Reader and Writer
Date Mon, 18 Apr 2016 20:32:25 GMT

     [ https://issues.apache.org/jira/browse/SPARK-14440?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Xiangrui Meng updated SPARK-14440:
----------------------------------
    Assignee: Xusen Yin

> 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
>            Assignee: 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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