If there is L1 from DB's OWLQN development, why do we need dropout regularization ?
On Wed, Apr 15, 2015 at 8:59 PM, rakeshchalasani <[email protected]> wrote: > 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 > > ---- > 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 > > ---- > > > --- > If your project is set up for it, you can reply to this email and have your > reply appear on GitHub as well. If your project does not have this feature > enabled and wishes so, or if the feature is enabled but not working, please > contact infrastructure at [email protected] or file a JIRA ticket > with INFRA. > --- > > --------------------------------------------------------------------- > To unsubscribe, e-mail: [email protected] > For additional commands, e-mail: [email protected] > >
