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https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14635102#comment-14635102
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Sachin Goel commented on FLINK-1901:
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Yes. I do agree. I'll see if what I've written can work with iterations
out-of-box. Fingers crossed.
And I meant, in random sampling, every point is sampled with probability 1/N. I
was wondering about cases when this probability is not constant across all
elements, instead is a function of the element itself. I guess that's too
specific to be a feature in itself.
> 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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