| MADlib Read Me |
| -------------- |
| |
| MADlib is an open-source library for scalable in-database analytics. |
| It provides data-parallel implementations of mathematical, statistical |
| and machine learning methods for structured and unstructured data. |
| |
| See the project web site located at http://madlib.net for links to the latest |
| binary and source packages. |
| |
| For installation and contribution guides, please see the MADlib wiki at |
| https://github.com/madlib/madlib/wiki. |
| |
| The latest documentation of MADlib modules can be found at http://doc.madlib.net |
| or can be accessed directly from the MADlib installation directory by opening |
| doc/user/html/index.html. |
| |
| Changes between MADlib versions are described in the ReleaseNotes.txt file. |
| |
| MADlib incorporates material from the following third-party components: |
| - Eigen 3.0.3 "is a C++ template library for linear algebra" |
| http://eigen.tuxfamily.org/index.php?title=Main_Page |
| - Boost 1.46.1 (or newer) "provides peer-reviewed portable C++ source |
| libraries" |
| http://www.boost.org/ |
| - doxypy 0.4.2 "is an input filter for Doxygen" |
| http://code.foosel.org/doxypy |
| - argparse 1.2.1 "provides an easy, declarative interface for creating command |
| line tools" |
| http://code.google.com/p/argparse/ |
| - PyYAML 3.10 "is a YAML parser and emitter for Python" |
| http://pyyaml.org/wiki/PyYAML |
| |
| License information regarding MADlib and included 3rd party libraries can be |
| found inside the license directory. |
