Alexander Ulanov created SPARK-5362:
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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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