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Alexander Ulanov commented on SPARK-10409: ------------------------------------------ Basic implementation with the current ML api can be found here: https://github.com/avulanov/spark/blob/a2261330c227be8ef26172dbe355a617d653553a/mllib/src/main/scala/org/apache/spark/ml/regression/MultilayerPerceptronRegressor.scala > 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-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org