I see it.
________________________________ From: Kun Yang <kuny...@stanford.edu> To: dev@mahout.apache.org Sent: Wednesday, July 31, 2013 6:42 PM Subject: Re: [jira] [Commented] (MAHOUT-1273) Single Pass Algorithm for Penalized Linear Regression with Cross Validation on MapReduce I submitted to "Mahout-git", can you see my review request? ----- Original Message ----- From: "Sebastian Schelter" <s...@apache.org> To: dev@mahout.apache.org Sent: Wednesday, July 31, 2013 3:34:40 PM Subject: Re: [jira] [Commented] (MAHOUT-1273) Single Pass Algorithm for Penalized Linear Regression with Cross Validation on MapReduce I can login and browse the reviews. 2013/7/31 Kun Yang <kuny...@stanford.edu> > It still complains with an error page: "Something broke! (Error 500)". Is > there something wrong with the server? > > ----- Original Message ----- > From: "Sebastian Schelter" <s...@apache.org> > To: dev@mahout.apache.org > Sent: Wednesday, July 31, 2013 3:28:10 PM > Subject: Re: [jira] [Commented] (MAHOUT-1273) Single Pass Algorithm for > Penalized Linear Regression with Cross Validation on MapReduce > > Oh, I think you have to use trunk/ not /trunk/ Maybe that helps. > > 2013/7/31 Kun Yang (JIRA) <j...@apache.org> > > > > > [ > > > https://issues.apache.org/jira/browse/MAHOUT-1273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13725782#comment-13725782 > ] > > > > Kun Yang commented on MAHOUT-1273: > > ---------------------------------- > > > > I use git command. The patch works on my machine. > > git diff HEAD^1 > ~/Downloads/PenalizedLinearRegression.patch > > > > > Single Pass Algorithm for Penalized Linear Regression with Cross > > Validation on MapReduce > > > > > > ---------------------------------------------------------------------------------------- > > > > > > Key: MAHOUT-1273 > > > URL: https://issues.apache.org/jira/browse/MAHOUT-1273 > > > Project: Mahout > > > Issue Type: New Feature > > > Affects Versions: 0.9 > > > Reporter: Kun Yang > > > Labels: documentation, features, patch, test > > > Fix For: 0.9 > > > > > > Attachments: Algorithm and Numeric Stability.pdf, java > > files.pdf, Manual and Example.pdf, PenalizedLinear.pdf, > > PenalizedLinearRegression.patch > > > > > > Original Estimate: 720h > > > Remaining Estimate: 720h > > > > > > Penalized linear regression such as Lasso, Elastic-net are widely used > > in machine learning, but there are no very efficient scalable > > implementations on MapReduce. > > > The published distributed algorithms for solving this problem is either > > iterative (which is not good for MapReduce, see Steven Boyd's paper) or > > approximate (what if we need exact solutions, see Paralleled stochastic > > gradient descent); another disadvantage of these algorithms is that they > > can not do cross validation in the training phase, which requires a > > user-specified penalty parameter in advance. > > > My ideas can train the model with cross validation in a single pass. > > They are based on some simple observations. > > > The core algorithm is a modified version of coordinate descent (see J. > > Freedman's paper). They implemented a very efficient R package "glmnet", > > which is the de facto standard of penalized regression. > > > I have implemented the primitive version of this algorithm in Alpine > > Data Labs. > > > > -- > > This message is automatically generated by JIRA. > > If you think it was sent incorrectly, please contact your JIRA > > administrators > > For more information on JIRA, see: > http://www.atlassian.com/software/jira > > >
