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From "Alexander Ulanov (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-5362) Gradient and Optimizer to support generic output (instead of label) and data batches
Date Thu, 22 Jan 2015 00:55:34 GMT
Alexander Ulanov created SPARK-5362:
---------------------------------------

             Summary: 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


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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