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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