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Posted to dev@mahout.apache.org by Sean Owen <sr...@gmail.com> on 2010/10/31 17:05:53 UTC
0.4 released
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/>
.
Re: 0.4 released
Posted by Robin Anil <ro...@gmail.com>.
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 <sr...@gmail.com> 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 <ro...@gmail.com> 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 <sr...@gmail.com> 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/>
> > > .
> > >
> >
>
Re: 0.4 released
Posted by Sean Owen <sr...@gmail.com>.
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 <ro...@gmail.com> 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 <sr...@gmail.com> 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/>
> > .
> >
>
Re: 0.4 released
Posted by Robin Anil <ro...@gmail.com>.
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 <sr...@gmail.com> 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/>
> .
>