[jira] [Resolved] (SPARK-16328) Implement conversion utility functions for single instances in Python

["Joseph K. Bradley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Joseph K. Bradley resolved SPARK-16328.
---------------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 13997
[https://github.com/apache/spark/pull/13997]

> Implement conversion utility functions for single instances in Python
> ---------------------------------------------------------------------
>
>                 Key: SPARK-16328
>                 URL: https://issues.apache.org/jira/browse/SPARK-16328
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, MLlib, PySpark
>            Reporter: Nick Pentreath
>            Assignee: Nick Pentreath
>             Fix For: 2.0.0
>
>
> We have {{asML}}/{{fromML}} utility methods in Scala/Java to convert between the old and new linalg types. These are missing in Python.
> For dense vectors it's actually easy to do without, e.g. {{mlDenseVector = Vectors.dense(mllibDenseVector)}}, but for sparse it doesn't work easily. So it would be good to have utility methods available for users.



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