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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2016/06/27 19:25:52 UTC

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

Bryan Cutler created SPARK-16231:
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             Summary: 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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