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RJ Nowling commented on SPARK-16365: ------------------------------------ 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 :) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org