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https://issues.apache.org/jira/browse/SPARK-16231?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-16231.
-----------------------------------
Resolution: Fixed
Fix Version/s: 2.1.0
2.0.1
Issue resolved by pull request 13928
[https://github.com/apache/spark/pull/13928]
> PySpark ML DataFrame example fails on Vector conversion
> -------------------------------------------------------
>
> Key: SPARK-16231
> URL: https://issues.apache.org/jira/browse/SPARK-16231
> Project: Spark
> Issue Type: Bug
> Components: ML, PySpark
> Reporter: Bryan Cutler
> Fix For: 2.0.1, 2.1.0
>
>
> The PySpark example dataframe_example.py fails when attempting to convert a
> ML style Vector (as loaded from libsvm format) to MLlib style Vector to be
> used in stat calculations. Before the stat calculations, the ML Vectors need
> to be converted to the old MLlib style with the utility function
> MLUtils.convertVectorColumnsFromML
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