GitHub user avulanov opened a pull request:
https://github.com/apache/spark/pull/4152
[MLLIB] SPARK-5362 (4526, 2372) Gradient and Optimizer to support generic
output (instead of label) and data batches
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.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/avulanov/spark batch-gradient
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4152.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #4152
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commit 43c6fec8caa72a9d853284736fb81efe66a820cd
Author: Alexander Ulanov <[email protected]>
Date: 2015-01-22T00:44:12Z
Vector instead of label in gradient and optimizer
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