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Posted to issues@spark.apache.org by "Sean R. Owen (Jira)" <ji...@apache.org> on 2019/10/26 21:02:00 UTC
[jira] [Resolved] (SPARK-10409) Multilayer perceptron regression
[ https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen resolved SPARK-10409.
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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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