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Posted to announce@apache.org by Robin Anil <ro...@apache.org> on 2010/03/18 07:55:36 UTC
[ANN] Apache Mahout 0.3 Released
Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and is
now available for public
download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
Up-to-date maven artifacts can be found in the Apache repository at
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
Apache Mahout is a subproject of Apache Lucene with the goal of
delivering scalable machine learning algorithm implementations under
the Apache license. http://www.apache.org/licenses/LICENSE-2.0
Mahout is a machine learning library meant to scale: Scale in terms of
community to support anyone interested in using machine learning.
Scale in terms of business by providing the library under a
commercially friendly, free software license. Scale in terms of
computation to the size of data we manage today.
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
project, Mahout lets you solve popular machine learning problem
settings like clustering, collaborative filtering and classification
over Terabytes of data over thousands of computers.
Implemented with scalability in mind the latest release brings many
performance optimizations so that even in a single node setup the
library performs well.
The complete changelist can be found here:
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
New Mahout 0.3 features include:
* New math and collections modules based on the high performance Colt
library.
* Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
* Parallel Dirichlet process clustering (a model-based clustering
algorithm)
* Parallel co-occurrence based recommender
* Parallel text document to vector conversion using LLR based ngram
generation
* Parallel Lanczos SVD (Singular Value Decomposition) solver
* Shell scripts for easier running of algorithms, utilities and examples
* ...and much much more: code cleanup, many bug fixes and
performance improvements
Getting started: New to Mahout?
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
* Check out the Quick start: http://cwiki.apache.org/MAHOUT
* Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
* Join the community by subscribing to mahout-user@lucene.apache.org
* Give back: http://www.apache.org/foundation/getinvolved.html
* Consider adding yourself to the power by Wiki
page:http://cwiki.apache.org/MAHOUT/poweredby.html
For more information on Apache Mahout, see http://lucene.apache.org/mahout
[ANNOUNCE] Apache Mahout 0.3 Released
Posted by Robin Anil <ro...@apache.org>.
>
> Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and
is now available for public
> download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
>
Up-to-date maven artifacts can be found in the Apache repository at
>
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
>
Apache Mahout is a subproject of Apache Lucene with the goal of
> delivering scalable machine learning algorithm implementations under
> the Apache license. http://www.apache.org/licenses/LICENSE-2.0
>
Mahout is a machine learning library meant to scale: Scale in terms of
> community to support anyone interested in using machine learning.
> Scale in terms of business by providing the library under a
> commercially friendly, free software license. Scale in terms of
> computation to the size of data we manage today.
>
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
> project, Mahout lets you solve popular machine learning problem
> settings like clustering, collaborative filtering and classification
> over Terabytes of data over thousands of computers.
>
Implemented with scalability in mind the latest release brings many
> performance optimizations so that even in a single node setup the
> library performs well.
>
The complete changelist can be found here:
>
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
>
New Mahout 0.3 features include:
>
* New math and collections modules based on the high performance Colt
library.
> * Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
> * Parallel Dirichlet process clustering (a model-based clustering
algorithm)
> * Parallel co-occurrence based recommender
> * Parallel text document to vector conversion using LLR based ngram
generation
> * Parallel Lanczos SVD (Singular Value Decomposition) solver
> * Shell scripts for easier running of algorithms, utilities and examples
> * ...and much much more: code cleanup, many bug fixes and
> performance improvements
>
Getting started: New to Mahout?
>
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
> * Check out the Quick start: http://cwiki.apache.org/MAHOUT
> * Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
> * Join the community by subscribing to mahout-user@lucene.apache.org
> * Give back: http://www.apache.org/foundation/getinvolved.html
> * Consider adding yourself to the power by Wiki
> page:http://cwiki.apache.org/MAHOUT/poweredby.html
>
For more information on Apache Mahout, see http://lucene.apache.org/mahout
[ANNOUNCE] Apache Mahout 0.3 Released
Posted by Robin Anil <ro...@apache.org>.
>
> Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and
is now available for public
> download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
>
Up-to-date maven artifacts can be found in the Apache repository at
>
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
>
Apache Mahout is a subproject of Apache Lucene with the goal of
> delivering scalable machine learning algorithm implementations under
> the Apache license. http://www.apache.org/licenses/LICENSE-2.0
>
Mahout is a machine learning library meant to scale: Scale in terms of
> community to support anyone interested in using machine learning.
> Scale in terms of business by providing the library under a
> commercially friendly, free software license. Scale in terms of
> computation to the size of data we manage today.
>
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
> project, Mahout lets you solve popular machine learning problem
> settings like clustering, collaborative filtering and classification
> over Terabytes of data over thousands of computers.
>
Implemented with scalability in mind the latest release brings many
> performance optimizations so that even in a single node setup the
> library performs well.
>
The complete changelist can be found here:
>
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
>
New Mahout 0.3 features include:
>
* New math and collections modules based on the high performance Colt
library.
> * Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
> * Parallel Dirichlet process clustering (a model-based clustering
algorithm)
> * Parallel co-occurrence based recommender
> * Parallel text document to vector conversion using LLR based ngram
generation
> * Parallel Lanczos SVD (Singular Value Decomposition) solver
> * Shell scripts for easier running of algorithms, utilities and examples
> * ...and much much more: code cleanup, many bug fixes and
> performance improvements
>
Getting started: New to Mahout?
>
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
> * Check out the Quick start: http://cwiki.apache.org/MAHOUT
> * Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
> * Join the community by subscribing to mahout-user@lucene.apache.org
> * Give back: http://www.apache.org/foundation/getinvolved.html
> * Consider adding yourself to the power by Wiki
> page:http://cwiki.apache.org/MAHOUT/poweredby.html
>
For more information on Apache Mahout, see http://lucene.apache.org/mahout
[ANNOUNCE] Apache Mahout 0.3 Released
Posted by Robin Anil <ro...@apache.org>.
>
> Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and
is now available for public
> download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
>
Up-to-date maven artifacts can be found in the Apache repository at
>
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
>
Apache Mahout is a subproject of Apache Lucene with the goal of
> delivering scalable machine learning algorithm implementations under
> the Apache license. http://www.apache.org/licenses/LICENSE-2.0
>
Mahout is a machine learning library meant to scale: Scale in terms of
> community to support anyone interested in using machine learning.
> Scale in terms of business by providing the library under a
> commercially friendly, free software license. Scale in terms of
> computation to the size of data we manage today.
>
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
> project, Mahout lets you solve popular machine learning problem
> settings like clustering, collaborative filtering and classification
> over Terabytes of data over thousands of computers.
>
Implemented with scalability in mind the latest release brings many
> performance optimizations so that even in a single node setup the
> library performs well.
>
The complete changelist can be found here:
>
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
>
New Mahout 0.3 features include:
>
* New math and collections modules based on the high performance Colt
library.
> * Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
> * Parallel Dirichlet process clustering (a model-based clustering
algorithm)
> * Parallel co-occurrence based recommender
> * Parallel text document to vector conversion using LLR based ngram
generation
> * Parallel Lanczos SVD (Singular Value Decomposition) solver
> * Shell scripts for easier running of algorithms, utilities and examples
> * ...and much much more: code cleanup, many bug fixes and
> performance improvements
>
Getting started: New to Mahout?
>
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
> * Check out the Quick start: http://cwiki.apache.org/MAHOUT
> * Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
> * Join the community by subscribing to mahout-user@lucene.apache.org
> * Give back: http://www.apache.org/foundation/getinvolved.html
> * Consider adding yourself to the power by Wiki
> page:http://cwiki.apache.org/MAHOUT/poweredby.html
>
For more information on Apache Mahout, see http://lucene.apache.org/mahout
[ANNOUNCE] Apache Mahout 0.3 Released
Posted by Robin Anil <ro...@apache.org>.
>
> Apache Mahout <http://lucene.apache.org/mahout> 0.3 has been released and
is now available for public
> download at http://www.apache.org/dyn/closer.cgi/lucene/mahout
>
Up-to-date maven artifacts can be found in the Apache repository at
>
https://repository.apache.org/content/repositories/releases/org/apache/mahout/
>
Apache Mahout is a subproject of Apache Lucene with the goal of
> delivering scalable machine learning algorithm implementations under
> the Apache license. http://www.apache.org/licenses/LICENSE-2.0
>
Mahout is a machine learning library meant to scale: Scale in terms of
> community to support anyone interested in using machine learning.
> Scale in terms of business by providing the library under a
> commercially friendly, free software license. Scale in terms of
> computation to the size of data we manage today.
>
Built on top of the powerful map/reduce paradigm of the Apache Hadoop
> project, Mahout lets you solve popular machine learning problem
> settings like clustering, collaborative filtering and classification
> over Terabytes of data over thousands of computers.
>
Implemented with scalability in mind the latest release brings many
> performance optimizations so that even in a single node setup the
> library performs well.
>
The complete changelist can be found here:
>
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12314281
>
New Mahout 0.3 features include:
>
* New math and collections modules based on the high performance Colt
library.
> * Faster Frequent Pattern Growth (FPGrowth) using FP-bonsai pruning
> * Parallel Dirichlet process clustering (a model-based clustering
algorithm)
> * Parallel co-occurrence based recommender
> * Parallel text document to vector conversion using LLR based ngram
generation
> * Parallel Lanczos SVD (Singular Value Decomposition) solver
> * Shell scripts for easier running of algorithms, utilities and examples
> * ...and much much more: code cleanup, many bug fixes and
> performance improvements
>
Getting started: New to Mahout?
>
* Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
> * Check out the Quick start: http://cwiki.apache.org/MAHOUT
> * Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
> * Join the community by subscribing to mahout-user@lucene.apache.org
> * Give back: http://www.apache.org/foundation/getinvolved.html
> * Consider adding yourself to the power by Wiki
> page:http://cwiki.apache.org/MAHOUT/poweredby.html
>
For more information on Apache Mahout, see http://lucene.apache.org/mahout