I am going to be in and out of connectivity for several days. Probably won't get to this.
On Sat, Feb 6, 2010 at 3:12 AM, Robin Anil (JIRA) <j...@apache.org> wrote: > > [ > https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12830506#action_12830506] > > Robin Anil commented on MAHOUT-228: > ----------------------------------- > > Hi Ted, Is there a new patch with separated randomizer?. > > I see lots of code checkin in oliver's git branch. Can you update the same > as a patch here. > > > > > Need sequential logistic regression implementation using SGD techniques > > ----------------------------------------------------------------------- > > > > Key: MAHOUT-228 > > URL: https://issues.apache.org/jira/browse/MAHOUT-228 > > Project: Mahout > > Issue Type: New Feature > > Components: Classification > > Reporter: Ted Dunning > > Fix For: 0.3 > > > > Attachments: logP.csv, MAHOUT-228-3.patch, r.csv, > sgd-derivation.pdf, sgd-derivation.tex, sgd.csv > > > > > > Stochastic gradient descent (SGD) is often fast enough for highly > scalable learning (see Vowpal Wabbit, > http://hunch.net/~vw/<http://hunch.net/%7Evw/> > ). > > I often need to have a logistic regression in Java as well, so that is a > reasonable place to start. > > -- > This message is automatically generated by JIRA. > - > You can reply to this email to add a comment to the issue online. > > -- Ted Dunning, CTO DeepDyve
