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https://issues.apache.org/jira/browse/FLINK-2312?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14633118#comment-14633118
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Maximilian Alber commented on FLINK-2312:
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I agree too.
Something else: How do you ensure the ratios? As I see they are only
approximately ensured when you have a big number of samples.
On Mon, Jul 20, 2015 at 9:26 AM, ASF GitHub Bot (JIRA) <j...@apache.org>
> 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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