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https://issues.apache.org/jira/browse/FLINK-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Theodore Vasiloudis updated FLINK-1723:
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Fix Version/s: 0.10
> Add cross validation for model evaluation
> -----------------------------------------
>
> Key: FLINK-1723
> URL: https://issues.apache.org/jira/browse/FLINK-1723
> Project: Flink
> Issue Type: New Feature
> Components: Machine Learning Library
> Reporter: Till Rohrmann
> Assignee: Theodore Vasiloudis
> Labels: ML
> Fix For: 0.10
>
>
> Cross validation [1] is a standard tool to estimate the test error for a
> model. As such it is a crucial tool for every machine learning library.
> The cross validation should work with arbitrary Estimators and error metrics.
> A first cross validation strategy it should support is the k-fold cross
> validation.
> Resources:
> [1] [http://en.wikipedia.org/wiki/Cross-validation]
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