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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2312) Random Splits
Date Mon, 20 Jul 2015 07:26:04 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14633116#comment-14633116
] 

ASF GitHub Bot commented on FLINK-2312:
---------------------------------------

Github user tillrohrmann commented on the pull request:

    https://github.com/apache/flink/pull/921#issuecomment-122785194
  
    I agree, a generalized implementation would be favorable.


> Random Splits
> -------------
>
>                 Key: FLINK-2312
>                 URL: https://issues.apache.org/jira/browse/FLINK-2312
>             Project: Flink
>          Issue Type: Wish
>          Components: Machine Learning Library
>            Reporter: Maximilian Alber
>            Assignee: pietro pinoli
>            Priority: Minor
>
> In machine learning applications it is common to split data sets into f.e. training and
testing set.
> To the best of my knowledge there is at the moment no nice way in Flink to split a data
set randomly into several partitions according to some ratio.
> The wished semantic would be the same as of Sparks RDD randomSplit.



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