[ https://issues.apache.org/jira/browse/SPARK-8284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-8284. ------------------------------ Resolution: Later I think this can be considered later if there is a working POC that's been published and shown to be effective > Regualarized Extreme Learning Machine for MLLib > ----------------------------------------------- > > Key: SPARK-8284 > URL: https://issues.apache.org/jira/browse/SPARK-8284 > Project: Spark > Issue Type: New Feature > Components: MLlib > Affects Versions: 1.3.1 > Reporter: 李力 > > Extreme Learning Machine can get better generalization performance at a much > faster learning speed for regression and classification problem,but the > enlarging volume of datasets makes regression by ELM on very large scale > datasets a challenging task. > Through analyzing the mechanism of ELM algorithm , an efficient parallel ELM > for regression is designed and implemented based on Spark. > The experimental results demonstrate that the propose parallel ELM for > regression can efficiently handle very large dataset with a good performance. -- 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