[jira] [Updated] (FLINK-1723) Add cross validation for model evaluation

["Fabian Hueske (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-1723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Fabian Hueske updated FLINK-1723:
---------------------------------
    Fix Version/s:     (was: 0.10.0)
                   1.0.0

> 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: 1.0.0
>
>
> 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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