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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/01/16 14:38:39 UTC

[jira] [Resolved] (SPARK-2262) Extreme Learning Machines (ELM) for MLLib

     [ https://issues.apache.org/jira/browse/SPARK-2262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-2262.
------------------------------
    Resolution: Won't Fix

> Extreme Learning Machines (ELM) for MLLib
> -----------------------------------------
>
>                 Key: SPARK-2262
>                 URL: https://issues.apache.org/jira/browse/SPARK-2262
>             Project: Spark
>          Issue Type: New Feature
>          Components: MLlib
>            Reporter: Erik Erlandson
>            Assignee: Erik Erlandson
>              Labels: features
>
> MLLib has a gap in the NN space.   There's some good reason for this, as batching gradient updates in traditional backprop training is known to not perform well.
> However, Extreme Learning Machines(ELM)  combine support for nonlinear activation functions in a hidden layer with a batch-friendly linear training.  There is also a body of ELM literature on various avenues for extension, including multi-category classification, multiple hidden layers and adaptive addition/deletion of hidden nodes.



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