[jira] [Resolved] (SPARK-16912) Wrong import in Machine Learning documentation

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16912.
-------------------------------
    Resolution: Not A Problem

You don't need to be assigned to work on it. But this is already fixed in master; check the source first.

> Wrong import in Machine Learning documentation 
> -----------------------------------------------
>
>                 Key: SPARK-16912
>                 URL: https://issues.apache.org/jira/browse/SPARK-16912
>             Project: Spark
>          Issue Type: Documentation
>    Affects Versions: 2.0.0
>            Reporter: Ganesh Krishnan
>            Priority: Trivial
>   Original Estimate: 0.25h
>  Remaining Estimate: 0.25h
>
> The Machine Learning documentation for Spark
> http://spark.apache.org/docs/latest/ml-features.html
>  imports 
> import org.apache.spark.mllib.linalg.Vector;
> This throws a class cast exception at runtime
> For my project:
> Exception in thread "main" java.lang.ClassCastException: org.apache.spark.ml.linalg.SparseVector cannot be cast to org.apache.spark.mllib.linalg.Vector
> 	at xyz.shoten.puddleloader.parquetcreator.IDFGenerator.main(IDFGenerator.java:55)
> It needs to import
> import org.apache.spark.ml.linalg.Vector;
> Note: The package is ml instead of mlib



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