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.
The Apache MyFaces team is pleased to announce the release of MyFaces Core 1.2.8.
MyFaces Core is a JavaServer(tm) Faces 1.2 implementation as specified by JSR-252. MyFaces Core has passed Sun's JSR-252 TCK and is 100% compliant with the JSR-252 specification.
MyFaces Core 1.2.8 is available in both binary and source distributions.
MyFaces Core is also available in the central Maven repository under Group ID "org.apache.myfaces.core".
Release Notes - MyFaces Core - Version 1.2.8
Bug
* [MYFACES-1896] - FacesConfigurator version check incorrect
* [MYFACES-1955] - MyFaces 1.2.4 and WebLogic 10.3- strict servlet API: cannot call getWriter() after getOutputStream()
* [MYFACES-2216] - MyFaces suppresses runtime exceptions thrown in ActionListeners
* [MYFACES-2256] - oamSetHiddenInput should not ignore nodeName=='input' (lower case characters)
* [MYFACES-2289] - Build failure due to missing symbol FacesContext.setCurrentPhaseId()
* [MYFACES-2338] - MyFaces 1.2 has dependency to JDK 1.6
* [MYFACES-2339] - RenderKitUtils should give better error if someone uses an incorrect default-render-kit-id
* [MYFACES-2343] - ConverterImplTag always wrap with DelegateConverter
* [MYFACES-2370] - 'invokeOnComponent' method in UIData does not properly process <h:column> header/footer facets
* [MYFACES-2371] - NullPointerException on UIComponentClassicTagBase.getViewComponentIds() fixed on branch 2.0.x but not on branch 1.2.x
* [MYFACES-2380] - DefaultRestoreViewSupport.calculateViewId does not calculate viewId properly on portlet case
* [MYFACES-2382] - Duplicate id exception when weblogic portal and jsf native portlet (faces-adapter.jar) is used
* [MYFACES-2383] - If jsf 1.2 methods of ExternalContext are called with a jsf 1.1 impl, by default it should call default ones
* [MYFACES-2388] - Link to download FILE on a Dialog fails of FF
Improvement
* [MYFACES-2154] - mobile internet explorer version 6.12 issue
* [MYFACES-2335] - Improve the plugin mechanism
* [MYFACES-2373] - Add a way to document event capabilities for components using myfaces builder plugin
* [MYFACES-2377] - Include global config parameters javadoc on myfaces-metadata using some myfaces builder plugin annotation
* [MYFACES-2400] - Allow choose directories when building myfaces-metadata.xml with myfaces-builder-plugin
The Apache Lucene project is pleased to announce the release of Apache Tika 0.5. The release contents have been pushed out to the main Apache release site and the m2 ibiblio sync, so the releases should be available as soon as the mirrors get the syncs.
Apache Tika, a subproject of Apache Lucene, is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries.
Apache Tika 0.5 contains a number of improvements and bug fixes. Details can be found in the changes file:
In the initial 48 hours, the release may not be available on all mirrors.
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/tika/KEYS-0.5.txt
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.
- 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