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Posted to issues@spark.apache.org by "Erik Erlandson (JIRA)" <ji...@apache.org> on 2014/06/24 23:40:24 UTC

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

Erik Erlandson created SPARK-2262:
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             Summary: 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


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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