You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@flink.apache.org by "Theodore Vasiloudis (JIRA)" <ji...@apache.org> on 2015/08/11 10:20:45 UTC

[jira] [Updated] (FLINK-1901) Create sample operator for Dataset

     [ https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Theodore Vasiloudis updated FLINK-1901:
---------------------------------------
    Description: 
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 or exact size of the sample, set a seed for reproducibility, and support sampling within iterations.

  was:
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.


> 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 or exact size of the sample, set a seed for reproducibility, and support sampling within iterations.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)