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From "Sean R. Owen (Jira)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-10409) Multilayer perceptron regression
Date Sat, 26 Oct 2019 21:02:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean R. Owen resolved SPARK-10409.
----------------------------------
    Resolution: Won't Fix

> 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.



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