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Posted to dev@mahout.apache.org by Grant Ingersoll <gs...@apache.org> on 2013/07/24 13:51:16 UTC
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
Re: 0.8
Posted by Grant Ingersoll <gs...@apache.org>.
Awesome, I will send out the announcement as soon as I check the mirrors.
On Jul 25, 2013, at 2:44 PM, Suneel Marthi <su...@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
> 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 <gs...@apache.org>
> To: "dev@mahout.apache.org" <de...@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
--------------------------------------------
Grant Ingersoll | @gsingers
http://www.lucidworks.com
Re: 0.8
Posted by Dmitriy Lyubimov <dl...@gmail.com>.
oh. of course.
On Thu, Jul 25, 2013 at 3:37 PM, Sebastian Schelter <ss...@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 <dl...@gmail.com>
>
> > On Thu, Jul 25, 2013 at 6:44 AM, Suneel Marthi <suneel_marthi@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 <gs...@apache.org>
> > > To: "dev@mahout.apache.org" <de...@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
> > >
> >
>
Re: 0.8
Posted by Sebastian Schelter <ss...@apache.org>.
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 <dl...@gmail.com>
> On Thu, Jul 25, 2013 at 6:44 AM, Suneel Marthi <suneel_marthi@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 <gs...@apache.org>
> > To: "dev@mahout.apache.org" <de...@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
> >
>
Re: 0.8
Posted by Grant Ingersoll <gs...@apache.org>.
On Jul 25, 2013, at 11:08 PM, Dmitriy Lyubimov <dl...@gmail.com> wrote:
> What does it mean -- remove "Mahout Math"?
It is a high level bullet, see the items underneath. Unfortunately, they don't translate to text format very well.
Re: 0.8
Posted by Dmitriy Lyubimov <dl...@gmail.com>.
On Thu, Jul 25, 2013 at 6:44 AM, Suneel Marthi <su...@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 <gs...@apache.org>
> To: "dev@mahout.apache.org" <de...@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
>
Re: 0.8
Posted by Suneel Marthi <su...@yahoo.com>.
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
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 <gs...@apache.org>
To: "dev@mahout.apache.org" <de...@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