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

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

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

ASF GitHub Bot updated FLINK-1723:
----------------------------------
    Labels: ML pull-request-available  (was: ML)

> 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: Library / Machine Learning
>            Reporter: Till Rohrmann
>            Assignee: Theodore Vasiloudis
>            Priority: Major
>              Labels: ML, pull-request-available
>
> 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]



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)