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https://issues.apache.org/jira/browse/SPARK-16365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15375928#comment-15375928
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RJ Nowling edited comment on SPARK-16365 at 7/13/16 10:40 PM:
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I'm really looking forward to this feature. Spark is great where model training
is expensive and involves large data sets but I want to be able to deploy those
models as part of mobile or other applications without a dependency on Spark.
It would be especially nice if there were implementations not only for the JVM
but Python, Go, and other languages.
[~MechCoder], applying models often requires less computation than training
them. So use Spark to train then have a local, non distributed library for
embedding models in other applications is how I interpret the feature.
was (Author: rnowling):
I'm really looking forward to this feature. Spark is great where model training
is expensive and involves large data sets but I want to be able to deploy those
models as per of mobile or other applications without a dependency on Spark. It
would be especially nice if there were implementations only for the JVM but
Python, Go, and other languages.
[~MechCoder], applying models often requires less computation than training
them. So use Spark to train then have a local, non distributed library for
embedding in other applications is how I interpret the feature.
> 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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