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 for links to the latest
binary and source packages.

For installation and contribution guides, please see the MADlib wiki at

The latest documentation of MADlib modules can be found at
or can be accessed directly from the MADlib installation directory by opening

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"
- Boost 1.46.1 (or newer) "provides peer-reviewed portable C++ source 
- doxypy 0.4.2 "is an input filter for Doxygen"
- argparse 1.2.1 "provides an easy, declarative interface for creating command
  line tools"
- PyYAML 3.10 "is a YAML parser and emitter for Python"

License information regarding MADlib and included 3rd party libraries can be 
found inside the license directory.