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https://issues.apache.org/jira/browse/SPARK-5362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14286703#comment-14286703
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Alexander Ulanov commented on SPARK-5362:
-----------------------------------------
https://github.com/apache/spark/pull/4152
> Gradient and Optimizer to support generic output (instead of label) and data
> batches
> ------------------------------------------------------------------------------------
>
> Key: SPARK-5362
> URL: https://issues.apache.org/jira/browse/SPARK-5362
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.2.0
> Reporter: Alexander Ulanov
> Fix For: 1.3.0
>
> Original Estimate: 24h
> Remaining Estimate: 24h
>
> Currently, Gradient and Optimizer interfaces support data in form of
> RDD[Double, Vector] which refers to label and features. This limits its
> application to classification problems. For example, artificial neural
> network demands Vector as output (instead of label: Double). Moreover,
> current interface does not support data batches. I propose to replace label:
> Double with output: Vector. It enables passing generic output instead of
> label and also passing data and output batches stored in corresponding
> vectors.
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