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