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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