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https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635206#comment-14635206
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Till Rohrmann commented on FLINK-1901:
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I think this solution is indeed a little bit too "hacky". It would be very
unintuitive for the user having to broadcast the iteration {{DataSet}} to the
sampling operator. Furthermore, this will inflict unnecessary network I/O.
I think we should try to solve this problem properly. This means that we have a
single sampling operator which works inside and outside of iterations. This
will also avoid code duplication.
> Create sample operator for Dataset
> ----------------------------------
>
> Key: FLINK-1901
> URL: https://issues.apache.org/jira/browse/FLINK-1901
> Project: Flink
> Issue Type: Improvement
> Components: Core
> Reporter: Theodore Vasiloudis
> Assignee: Chengxiang Li
>
> In order to be able to implement Stochastic Gradient Descent and a number of
> other machine learning algorithms we need to have a way to take a random
> sample from a Dataset.
> We need to be able to sample with or without replacement from the Dataset,
> choose the relative size of the sample, and set a seed for reproducibility.
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