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https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635096#comment-14635096
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Till Rohrmann commented on FLINK-1901:
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The problem is that a sampling operator should also work within iterations. 
There is definitely a big need for this, e.g. for stochastic gradient descent.

I don't really understand what you mean with your question [~sachingoel0101].

> 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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