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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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