[
https://issues.apache.org/jira/browse/SPARK-16231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15351652#comment-15351652
]
Apache Spark commented on SPARK-16231:
--------------------------------------
User 'BryanCutler' has created a pull request for this issue:
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
>
> 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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
