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Machine learning in production with scikit-learn
--client
pyohio
--show
pyohio_2017
--room suzanne_scharer 12369 --force
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Marks
Author(s):
Jeff Klukas
Location
Suzanne Scharer
Date
jul Sat 29
Days Raw Files
Start
15:00
First Raw Start
13:28
Duration
00:50:00
Offset
1:31:33
End
15:50
Last Raw End
14:58
Chapters
00:00
0:28:04
0:41:26
Total cuts_time
50 min.
http://pyohio.org/schedule/presentation/284/
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The Python data ecosystem provides amazing tools to quickly get up and running with machine learning models, but the path to stably serving them in production is not so clear. We'll discuss details of wrapping a minimal REST API around scikit-learn, training and persisting models in batch, and logging decisions, then compare to some other common approaches to productionizing models.
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