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https://issues.apache.org/jira/browse/SPARK-14450?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15653309#comment-15653309
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fanlu commented on SPARK-14450:
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Why scala version does not need to use parallelization
> Python OneVsRest should train multiple models at once
> -----------------------------------------------------
>
> Key: SPARK-14450
> URL: https://issues.apache.org/jira/browse/SPARK-14450
> Project: Spark
> Issue Type: Improvement
> Components: ML, PySpark
> Reporter: Joseph K. Bradley
>
> [SPARK-7861] adds a Python wrapper for OneVsRest. Because of possible issues
> related to using existing libraries like {{multiprocessing}}, we are not
> training multiple models in parallel initially.
> This issue is for prototyping, testing, and implementing a way to train
> multiple models at once. Speaking with [~joshrosen], a good option might be
> the concurrent.futures package:
> * Python 3.x:
> [https://docs.python.org/3/library/concurrent.futures.html#module-concurrent.futures]
> * Python 2.x: [https://pypi.python.org/pypi/futures]
> We will *not* add this for Spark 2.0, but it will be good to investigate for
> 2.1.
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