I always forget that marking patch available doesn't actually make the patch available.
Patch will be there very shortly. On Wed, Dec 23, 2009 at 1:20 PM, Jake Mannix <jake.man...@gmail.com> wrote: > Wait, I thought there was a patch, is there no code on this yet? The JIRA > ticket > says "patch available", but there's no files attached? > > -jake > > On Wed, Dec 23, 2009 at 1:15 PM, Jake Mannix <jake.man...@gmail.com> > wrote: > > > Hey Ted, > > > > I'll try out the patch, but I doubt it duplicates any of the stuff I've > > got coming in - I've > > been meaning to put together an SGD impl, but while ideologically it > > overlaps with some > > of my decomposition stuff (and the current in-memory SVD which is in > Taste > > is actually > > of the SGD variety, so there may be some overlap with that) but any > > scalable impl of > > that would be awesome. > > > > But this patch is for SGD for logistic regression, right? How > > customizable is it for > > solving different plugged in optimization functions? I guess I could > just > > try it out and > > see, eh? > > > > -jake > > > > > > On Wed, Dec 23, 2009 at 12:52 PM, Ted Dunning <ted.dunn...@gmail.com > >wrote: > > > >> Jake, > >> > >> I would appreciate your comments on this, especially in light of any > >> duplication. > >> > >> David, > >> > >> If you have any time, your comments are always very welcome as well. > >> > >> On Wed, Dec 23, 2009 at 12:50 PM, Ted Dunning (JIRA) <j...@apache.org > >> >wrote: > >> > >> > > >> > [ > >> > > >> > https://issues.apache.org/jira/browse/MAHOUT-228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel > >> ] > >> > > >> > Ted Dunning updated MAHOUT-228: > >> > ------------------------------- > >> > > >> > Fix Version/s: 0.3 > >> > Status: Patch Available (was: Open) > >> > > >> > Here is an early implementation. The learning has been implemented, > but > >> > not tested. Most other aspects are reasonably well tested. > >> > > >> > > 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 > >> > > > >> > > > >> > > Stochastic gradient descent (SGD) is often fast enough for highly > >> > scalable learning (see Vowpal Wabbit, > >> > http://hunch.net/~vw/<http://hunch.net/%7Evw/> > < > >> 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 > >> > > > > > -- Ted Dunning, CTO DeepDyve
