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

["Nick Pentreath (JIRA)" <ji...@apache.org>]

Nick Pentreath created SPARK-16328:
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             Summary: 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


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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