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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/27 19:31:52 UTC

[jira] [Commented] (SPARK-16231) PySpark ML DataFrame example fails on Vector conversion

    [ 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



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