oh. of course.
On Thu, Jul 25, 2013 at 3:37 PM, Sebastian Schelter <s...@apache.org> wrote: > It means to aim to remove the following things *from Mahout Math*: > > - Lanczos (use SSVD instead) > - Hadoop entropy stuff in org.apache.mahout.math.stats.entropy > > > 2013/7/25 Dmitriy Lyubimov <dlie...@gmail.com> > > > On Thu, Jul 25, 2013 at 6:44 AM, Suneel Marthi <suneel_mar...@yahoo.com > > >wrote: > > > > > With Isabel's help, updated the 0.8 Release notes on the Wiki and below > > is > > > the text version of the Release notes. > > > > > > Checkout the Wiki version at > > > > > > https://cwiki.apache.org/confluence/display/MAHOUT/Release+0.8 > > > > > > ------------------------------------------- > > > > > > The Apache Mahout PMC is pleased to announce the release of Mahout 0.8. > > > Mahout's goal is to build scalable machine learning libraries focused > > > primarily in the areas of collaborative filtering (recommenders), > > > clustering and classification (known as the "3Cs"), as well as the > > > necessary infrastructure to support those implementations including, > but > > > not limited to, math packages for statistics, linear algebra and > others > > > as well as Java primitive collections, local and distributed vector > and > > > matrix classes and a variety of integrative code to work with popular > > > packages like Apache Hadoop, Apache Lucene, Apache HBase, Apache > > > Cassandra and much more. The 0.8 release is mainly a clean up release > in > > > preparation for an upcoming 1.0 release, but there are several > > > significant new features, which are highlighted below. > > > > > > To get started with Apache Mahout 0.8, download the release artifacts > and > > > signatures at http://www.apache.org/dyn/closer.cgi/mahout. The > examples > > > directory contains several working examples of the core > > > functionality available in Mahout. These can be run via scripts in the > > > examples/bin directory. Most examples do not need a Hadoop cluster in > > > order to run. > > > > > > Please pay attention to the section labelled FUTURE PLANS below for > more > > > information about upcoming releases of Mahout. > > > > > > As with any release, we wish to thank all of the users and contributors > > > to Mahout. Please see the CHANGELOG [1] and JIRA Release Notes [2] for > > > individual credits, as there are too many to list here. > > > > > > RELEASE HIGHLIGHTS > > > > > > The highlights of the Apache Mahout 0.8 release include, but are not > > > limited to the list below. For further information, see the included > > > CHANGELOG file. > > > > > > - Numerous performance improvements to Vector and Matrix > > > implementations, API's and their iterators (see also MAHOUT-1192, > > > MAHOUT-1202) > > > - Numerous performance improvements to the recommender implementations > > > (see also MAHOUT-1272, MAHOUT-1035, MAHOUT-1042, MAHOUT-1151, > > > MAHOUT-1166, MAHOUT-1167, MAHOUT-1169, MAHOUT-1205, MAHOUT-1264) > > > - MAHOUT-1088: Support for biased item-based recommender > > > - MAHOUT-1089: SGD matrix factorization for rating prediction with user > > > and item biases > > > - MAHOUT-1106: Support for SVD++ > > > - MAHOUT-944: Support for converting one or more Lucene storage indexes > > > to SequenceFiles as well as an upgrade of the supported Lucene version > > > to Lucene 4.3.1. > > > - MAHOUT-1154 and friends: New streaming k-means implementation that > > > offers on-line (and fast) clustering > > > - MAHOUT-833: Make conversion to SequenceFiles Map-Reduce, > 'seqdirectory' > > > can now be run as a MapReduce job. > > > - MAHOUT-1052: Add an option to MinHashDriver that specifies the > > dimension > > > of vector to hash (indexes or values). > > > - MAHOUT-884: Matrix Concat utility, presently only concatenates two > > > matrices. > > > - MAHOUT-1244: Upgraded to use Lucene 4.3 > > > - MAHOUT-1187: Upgraded to CommonsLang3 > > > - MAHOUT-916: Speedup the Mahout build by making tests run in parallel. > > > - The usual bug fixes. See JIRA [2] for more > > > information on the 0.8 release. > > > > > > A total of 218 separate JIRA issues are addressed in this release. > > > > > > CONTRIBUTING > > > > > > Mahout is always looking for contributions focused on the 3Cs. If you > are > > > interested in contributing, please see our > > > https://cwiki.apache.org/MAHOUT/how-to-contribute.html on the Mahout > > wiki > > > or contact us via email at dev@mahout.apache.org. > > > > > > FUTURE PLANS > > > > > > 0.9 > > > > > > As the project moves towards a 1.0 release, the community is working to > > > clean up and/or remove parts of the code base that are under-supported > > > or that underperform as well as to better focus the energy and > > > contributions on key algorithms that are proven to scale in production > > > and have seen wide-spread adoption. To this end, in the next release, > > > the project is planning on removing support for the following > algorithms > > > unless there is sustained support and improvement of them before the > > > next release. > > > > > > The algorithms to be removed are: > > > - From Clustering: > > > Dirichlet > > > MeanShift > > > MinHash > > > Eigencuts > > > - From Classification (both are sequential implementations) > > > Winnow > > > Perceptron > > > - Frequent Pattern Mining > > > - Collaborative Filtering > > > All recommenders in org.apache.mahout.cf.taste. > > > impl.recommender.knn > > > SlopeOne implementations in org.apache.mahout.cf.taste.hadoop.slopeone > > and > > > org.apache.mahout.cf.taste.impl.recommender.slopeone > > > Distributed pseudo recommender in > > org.apache.mahout.cf.taste.hadoop.pseudo > > > TreeClusteringRecommender in > org.apache.mahout.cf.taste.impl.recommender > > > - Mahout Math > > > > > > > What does it mean -- remove "Mahout Math"? > > > > > > > Lanczos in favour of SSVD > > > Hadoop entropy stuff in org.apache.mahout.math.stats.entropy > > > > > > If you are interested in supporting 1 or more of these algorithms, > please > > > make it known on dev@mahout.apache.org and via JIRA issues that fix > > > and/or improve them. Please also provide > > > supporting evidence as to their effectiveness for you in production. > > > > > > 1.0 PLANS > > > > > > Our plans as a community are to focus 0.9 on cleanup of bugs and the > > > removal of the code mentioned above and then to follow with a 1.0 > > > release soon thereafter, at which point the community is committing to > > > the support of the algorithms packaged in the 1.0 for at least two > minor > > > versions after their release. In the case of removal, we will > deprecate > > > the functionality in the 1.(x+1) minor release and remove it in the > > > 1.(x+2) release. For instance, if feature X is to be removed after the > > > 1.2 release, it will be deprecated in 1.3 and removed in 1.4. > > > {quote} > > > > > > > [1] > > > > > > http://svn.apache.org/viewvc/mahout/trunk/CHANGELOG?revision=1501110&view=markup > > > [2] > > > > > > https://issues.apache.org/jira/issues/?jql=project%20%3D%20MAHOUT%20AND%20fixVersion%20%3D%20%220.8%22 > > > ] > > > > > > > > > > > > > > > ________________________________ > > > From: Grant Ingersoll <gsing...@apache.org> > > > To: "dev@mahout.apache.org" <dev@mahout.apache.org> > > > Sent: Wednesday, July 24, 2013 7:51 AM > > > Subject: 0.8 > > > > > > > > > 0.8 artifacts are pushed to the mirror location. I will send an > official > > > announcement tomorrow. > > > > > > In the meantime, please review the release notes at: > > > https://cwiki.apache.org/confluence/display/MAHOUT/Release+0.8 > > > > > > The new features/fixes section is pretty weak. > > > > > > -Grant > > > > > >
