[
https://issues.apache.org/jira/browse/FLINK-1901?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14499396#comment-14499396
]
Till Rohrmann commented on FLINK-1901:
--------------------------------------
A sampling operator for non-iterations can be realized as a mapPartition
operator. This would also allow us to do sampling without replacement.
The harder problem is to do sampling within an iteration. Usually, one would
sample from a static code path which is only executed once. Maybe we can
include the sampling operator on the dynamic code path to trigger it every
iteration.
> 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
>
> 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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
