[jira] [Commented] (SPARK-8284) Regualarized Extreme Learning Machine for MLLib

["Rakesh Chalasani (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-8284?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14580602#comment-14580602 ] 

Rakesh Chalasani commented on SPARK-8284:
-----------------------------------------

In my experience, the performance and ways to build ELMs is not very well understood to include in MLlib at this time. So, it is better to put this in Spark packages.

See:
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-MLlib-specificContributionGuidelines

> 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. 



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