Joseph K. Bradley created SPARK-14450:
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Summary: 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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