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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-1901) Create sample operator for Dataset
Date Fri, 07 Aug 2015 03:39:45 GMT

    [ https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14661258#comment-14661258

ASF GitHub Bot commented on FLINK-1901:

Github user ChengXiangLi commented on the pull request:

    Hi, @tillrohrmann , current implementation of sample with fixed size would generate fixed
size sample for each partition randomly instead of the whole dataset, user may expect the
later one actually most of the time. I'm research on how to sample fixed size elements randomly
from distributed data stream, i think we can pause this PR review until i merge the previous

> 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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