| ============================================================== |
| Apache Mahout |
| Copyright 2009 The Apache Software Foundation |
| ============================================================== |
| |
| This product includes software developed by |
| The Apache Software Foundation (http://www.apache.org/). |
| |
| Includes software from other Apache Software Foundation projects, |
| including, but not limited to: |
| - Apache Lucene Java |
| - Apache Hadoop |
| - Apache Commons |
| |
| This product includes software developed by the Indiana University |
| Extreme! Lab (http://www.extreme.indiana.edu/). |
| Copyright (c) 2002 Extreme! Lab, Indiana University. |
| |
| This product includes examples code from the Watchmaker project |
| https://watchmaker.dev.java.net/ |
| Copyright (c) 2006-2009 Daniel W. Dyer. |
| |
| This product includes libraries developed by the Kosmos project (http://kosmosfs.sourceforge.net/) |
| Copyright 2008 Quantcast Corp. |
| Copyright 2007 Kosmix Corp. |
| |
| This product includes software developed by the Jets3T project (https://jets3t.dev.java.net/) |
| Copyright (c) 2008 James Murty |
| |
| This product includes libraries developed by the CGLib project (http://cglib.sourceforge.net/) |
| Copyright (c) 2008, cglib |
| |
| This product includes a JUnit jar: http://junit.sourceforge.net/ |
| License: Common Public License - v 1.0 (http://junit.sourceforge.net/cpl-v10.html) |
| Copyright (c) 2000-2006, www.hamcrest.org |
| |
| This product includes code from the XStream project (http://xstream.codehaus.org/) |
| Copyright (c) 2003-2006, Joe Walnes |
| Copyright (c) 2006-2007, XStream Committers |
| |
| This product includes tests written with EasyMock |
| Copyright 2001-2007 Tammo Freese (http://www.easymock.org/) |
| |
| This product uses the Breast Cancer Wisconsin (Diagnostic) Dataset from the |
| UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html, http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)]. |
| |
| This product contains parts of the Bayesian Logic (BLOG) Inference Engine. |
| Copyright (c) 2005, Regents of the University of California |
