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https://issues.apache.org/jira/browse/SPARK-3510?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-3510.
------------------------------
    Resolution: Not A Problem

> Create method for calculating error between expected result and actual
> ----------------------------------------------------------------------
>
>                 Key: SPARK-3510
>                 URL: https://issues.apache.org/jira/browse/SPARK-3510
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Egor Pakhomov
>            Priority: Minor
>
> Could not do it right now, because zip operation need same number elements in 
> partition, which I can not garantee.
> right now using next code: 
> {code:title=Bar.scala|borderStyle=solid}
>     val expectedRepartitioned = expected.cache().repartition(1) // need for 
> zip operation
>     val actualRepartitioned = actual.cache().repartition(1)
>     new DoubleRDDFunctions(
>       expectedRepartitioned
>         .zip(actualRepartitioned)
>         .map(a => {
>         Math.pow(a._1 - a._2, 2)
>       })).mean()
> {code}



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