Sorry, I didn't know that. Just gave group permission to all files in /www/ mahout.apache.org. I will modify the cron script to reflect that as well.
On Sun, Oct 31, 2010 at 11:33 PM, Sean Owen <[email protected]> wrote: > Yes, like I said I can't update the site -- you own the file. You should > make it group-writable and make the edits I mentioned. > > I leave it to those who actually know about the algorithms to update docs! > yes, these should be kept as up to date as possible, not just around > release > time. > > On Sun, Oct 31, 2010 at 5:11 PM, Robin Anil <[email protected]> wrote: > > > Sean, Don't forget to update the site and wiki with the announcement. > Also > > it will be good to link the new algorithms in the announcement text to > > their > > respective Wiki Pages > > > > > > On Sun, Oct 31, 2010 at 9:35 PM, Sean Owen <[email protected]> wrote: > > > > > We're pleased to announce we've finally completed the 0.4 release. It > > will > > > begin showing up on mirrors shortly, so check back if you can't find it > > > just > > > yet from the usual spot: http://www.apache.org/dyn/closer.cgi/mahout/ > > > > > > The complete news item is as follows: > > > > > > We are pleased to announce release 0.4 of Mahout. Virtually every > corner > > of > > > the project has changed, and significantly, since 0.3. Developers are > > > invited to use and depend on version 0.4 even as yet more change is to > be > > > expected before the next release. Highlights include: > > > > > > - Model refactoring and CLI changes to improve integration and > > > consistency > > > - New ClusterEvaluator and CDbwClusterEvaluator offer new ways to > > > evaluate clustering effectiveness > > > - New Spectral Clustering and MinHash Clustering (still experimental) > > > - New VectorModelClassifier allows any set of clusters to be used for > > > classification > > > - Map/Reduce job to compute the pairwise similarities of the rows of > a > > > matrix using a customizable similarity measure > > > - Map/Reduce job to compute the item-item-similarities for item-based > > > collaborative filtering > > > - RecommenderJob has been evolved to a fully distributed item-based > > > recommender > > > - Distributed Lanczos SVD implementation > > > - More support for distributed operations on very large matrices > > > - Easier access to Mahout operations via the command line > > > - New HMM based sequence classification from GSoC (currently as > > > sequential version only and still experimental) > > > - Sequential logistic regression training framework > > > - New SGD classifier > > > - Experimental new type of NB classifier, and feature reduction > options > > > for existing one > > > - New vector encoding framework for high speed vectorization without > a > > > pre-built dictionary > > > - Additional elements of supervised model evaluation framework > > > - Promoted several pieces of old Colt framework to tested status (QR > > > decomposition, in particular) > > > - Can now save random forests and use it to classify new data > > > - Many, many small fixes, improvements, refactorings and cleanup > > > > > > Details on what's included can be found in the release > > > notes< > > > > > > https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&styleName=Html&version=12314281 > > > >. > > > Downloads are available from theApache > > > Mirrors<http://www.apache.org/dyn/closer.cgi/lucene/mahout/> > > > . > > > > > >
