[
https://issues.apache.org/jira/browse/SPARK-10409?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-10409:
------------------------------------
Assignee: (was: Apache Spark)
> 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: [email protected]
For additional commands, e-mail: [email protected]
