GitHub user rakeshchalasani opened a pull request:
https://github.com/apache/spark/pull/5539
Add dropout regularization to logistic regression.
Right now implemented only for logistic regression wit SGD.
If everything is ok, I can add the same for LR with LBGFS as well.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/rakeshchalasani/spark dropout
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/5539.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 #5539
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commit 16b76681808d0c84f3c63e83709c7440a1565f8d
Author: rakeshchalasani <[email protected]>
Date: 2015-04-16T03:46:02Z
[SPARK-6867][MLlib] Add dropout regularization to logistic regression with
SGD.
Check JIRA https://issues.apache.org/jira/browse/SPARK-6867 for details.
Author: Rakesh Chalasani <[email protected]>
Add gradient with dropout and logistic regression with dropout
regularization
Add LR dropout to examples
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