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https://issues.apache.org/jira/browse/SPARK-16328?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15357130#comment-15357130
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Apache Spark commented on SPARK-16328:
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User 'MLnick' has created a pull request for this issue:
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
>
> 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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