[ 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. -- 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