You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/06/11 06:55:21 UTC

[jira] [Commented] (SPARK-10409) Multilayer perceptron regression

    [ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15325755#comment-15325755 ] 

Apache Spark commented on SPARK-10409:
--------------------------------------

User 'JeremyNixon' has created a pull request for this issue:
https://github.com/apache/spark/pull/13617

> Multilayer perceptron regression
> --------------------------------
>
>                 Key: SPARK-10409
>                 URL: https://issues.apache.org/jira/browse/SPARK-10409
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 1.5.0
>            Reporter: Alexander Ulanov
>            Priority: Minor
>
> Implement regression based on multilayer perceptron (MLP). It should support different kinds of outputs: binary, real in [0;1) and real in [-inf; +inf]. The implementation might take advantage of autoencoder. Time-series forecasting for financial data might be one of the use cases, see http://dl.acm.org/citation.cfm?id=561452. So there is the need for more specific requirements from this (or other) area.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org