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'Mahout'에 해당되는 글 3

  1. 2010.03.18 Apache Mahout 0.3 릴리즈
  2. 2009.11.19 Apache Mahout 0.2 릴리즈
  3. 2009.04.08 Apache Mahout 0.1 Released
 
아파치 소프트웨어 재단은 아파치 오픈 소스 소프트웨어 프로젝트 커뮤니티 지원을 제공합니다.
아파치 프로젝트는 협업과 개발 프로세스를 기반으로 하는 상호간의 공감대와 개방되어 있는 실용적인 소프트웨어 라이센스, 그 분야에서 선두를 달릴 수 있는 고품질 소프트웨어 개발을 추구하고 있습니다.

우리는 심플한 서버 공유 프로젝트의 모임이라고도 하지만 오히려 개발자와 사용자간의 커뮤니티라고 생각합니다.

Apache Mahout 0.3 릴리즈

뉴스/소식 | 2010. 3. 18. 23:28 | Posted by 노안돼지

Apache Mahout 0.3이 공식 릴리즈 되었습니다.

다운로드는 아래주소에서 하실 수 있습니다.
http://www.apache.org/dyn/closer.cgi/lucene/mahout

Up-to-date maven artifacts는 아래 Apache repository에서 확인하실 수 있습니다.
https://repository.apache.org/content/repositories/releases/org/apache/mahout/

Apache Mahout은 아파치 라이센스를 준수하여 delivering scalable machine learning 알고리즘 구현이라는 목표를 가진 Apache Lucene의 서브 프로젝트입니다.
http://www.apache.org/licenses/LICENSE-2.0

Mahout은 machine learning 라이브러리로서의 스케일을 의미한다.

여기서 스케일이란 
 1. machine learning을 이용하여 흥미를 유발하는 어떠한 것들을 지원하는 커뮤니티
 2. 상업적인 것에 가깝거나, 프리 소프트웨어 라이센스를 준수하는 리이브러리를 갖추고 있다는 의미
 3. 우리가 당일 관리하는 데이터의 크기란 의미
 로 규정합니다.

Top에 의거한 파워풀 맵과 Apache Hadoop 프로젝트 패러디임의 단순함을 통해
Mahout은 일반 machine learning의 클러스터링 서버와 같은 설정이란 문제점과 협업을 통해 천대 이상의 테라바이트와 1,000대 이상의 컴퓨터 등을 분류와 의견 조률을 하므로써, 여러분과 함께 문제를 해결하고 있습니다.

감사합니다.

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Apache Mahout 0.2 릴리즈

뉴스/소식 | 2009. 11. 19. 10:08 | Posted by 노안돼지

Apache Mahout 0.2 has been released and is now available for public download at http://www.apache.org/dyn/closer.cgi/lucene/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
Scale in terms of computation to the

size of data you manage today.  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.

Built on top of the powerful map/reduce paradigm of the Apache Hadoop project, Mahout's goal is to solve popular machine learning problems like clustering, collaborative filtering and classification over extremely large data sets over thousands of computers.


Up to date maven artifacts can be found in the Apache repository at
https://repository.apache.org/content/repositories/releases/org/apache/mahout/


The complete changelist can be found here:
http://issues.apache.org/jira/browse/MAHOUT/fixforversion/12313278


New Mahout 0.2 features include

- Major performance enhancements in Collaborative Filtering, Classification and Clustering
- New: Latent Dirichlet Allocation(LDA) implementation for topic modelling
- New: Frequent Itemset Mining for mining top-k patterns from a list of transactions
- New: Decision Forests implementation for Decision Tree classification (In Memory & Partial Data)
- New: HBase storage support for Naive Bayes model building and classification
- New: Generation of vectors from Text documents for use with Mahout Algorithms
- Performance improvements in various Vector implementations
- Tons of bug fixes and code cleanup

Getting started: New to Mahout?

1) Download Mahout at http://www.apache.org/dyn/closer.cgi/lucene/mahout
2) Check out the Quick start: http://cwiki.apache.org/MAHOUT/quickstart.html
3) Read the Mahout Wiki: http://cwiki.apache.org/MAHOUT
4) Join the community by subscribing to mahout-user@lucene.apache.org
5) Give back: http://www.apache.org/foundation/getinvolved.html (optional, but much appreciated!)
6) 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

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Apache Mahout 0.1 Released

뉴스/소식 | 2009. 4. 8. 08:55 | Posted by 노안돼지

The Apache Lucene project is pleased to announce the release of Apache Mahout 0.1.
Apache Mahout is a subproject of Apache Lucene with the goal of delivering scalable
machine learning algorithm implementations under the Apache license.  The first public
release includes implementations for clustering, classification,
collaborative filtering and evolutionary programming.

Highlights include:
1. Taste Collaborative Filtering
2. Several distributed clustering implementations: k-Means, Fuzzy k-Means, Dirchlet, Mean-Shift and Canopy
3. Distributed Naive Bayes and Complementary Naive Bayes classification implementations
4. Distributed fitness function implementation for the Watchmaker evolutionary programming library
5.  Most implementations are built on top of Apache Hadoop (http://hadoop.apache.org) for scalability

The release contents have been pushed out to the main Apache release
site and the m2 ibiblio sync repository.

Apache Mahout 0.1 is the project's first release and is focused on establishing a baseline release while
attracting more contributors. Details can
be found in JIRA:

https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12310751&styleName=Html&version=12312976

Apache Mahout is available in source form from the following download page:
http://www.apache.org/dyn/closer.cgi/lucene/mahout/0.1/mahout-0.1-project.tar.gz

Apache Mahout is also available for Maven 2 users via
the Central Maven Repositories:
http://repo1.maven.org/maven2/org/apache/mahout/
http://mirrors.ibiblio.org/pub/mirrors/maven2/org/apache/mahout/

When downloading from a mirror site, please remember to verify the downloads
using signatures found on the Apache site:
http://www.apache.org/dist/lucene/mahout/KEYS

For more information on Apache Mahout, visit the project home page:
http://lucene.apache.org/mahout

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