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