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https://issues.apache.org/jira/browse/SPARK-16365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16000759#comment-16000759
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Matan edited comment on SPARK-16365 at 5/8/17 2:22 PM:
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I think this would be a great complement to Spark, if implemented cleanly such
that it's a clean path to a drop-in import of a Spark trained model. That's
because deploying models to production might be a terrible process in the
current state-of-the-art, until there are enough open-sourced tools that
actually work well in importing and efficiently running PMML models exported
from Spark (unless I'm just not aware of existing ones).
But I wonder why spark streaming was not mentioned on this thread...
was (Author: matanster):
I think this would be a great complement to Spark, if implemented cleanly such
that it's a clean path to a drop-in import of a Spark trained model. That's
because deploying models to production might be a terrible process in the
current state-of-the-art, until there are enough open-sourced tools that
actually work well in importing and efficiently running PMML models exported
from Spark (unless I'm just not aware of existing ones).
> Ideas for moving "mllib-local" forward
> --------------------------------------
>
> Key: SPARK-16365
> URL: https://issues.apache.org/jira/browse/SPARK-16365
> Project: Spark
> Issue Type: Brainstorming
> Components: ML
> Reporter: Nick Pentreath
>
> Since SPARK-13944 is all done, we should all think about what the "next
> steps" might be for {{mllib-local}}. E.g., it could be "improve Spark's
> linear algebra", or "investigate how we will implement local models/pipelines
> in Spark", etc.
> This ticket is for comments, ideas, brainstormings and PoCs. The separation
> of linalg into a standalone project turned out to be significantly more
> complex than originally expected. So I vote we devote sufficient discussion
> and time to planning out the next move :)
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