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Posted to issues@spark.apache.org by "Alexander Ulanov (JIRA)" <ji...@apache.org> on 2015/09/02 01:45:45 UTC

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

Alexander Ulanov created SPARK-10409:
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             Summary: 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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