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Open-source library for scalable in-database analytics.
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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: - argparse 1.2.1 "provides an easy, declarative interface for creating command line tools" http://code.google.com/p/argparse/ - Boost 1.46.1 (or newer) "provides peer-reviewed portable C++ source libraries" http://www.boost.org/ - CERN ROOT is "an object oriented framework for large scale data analysis" http://root.cern.ch/ - doxypy 0.4.2 "is an input filter for Doxygen" http://code.foosel.org/doxypy - Eigen 3.0.3 "is a C++ template library for linear algebra" http://eigen.tuxfamily.org/index.php?title=Main_Page - PyYAML 3.10 "is a YAML parser and emitter for Python" http://pyyaml.org/wiki/PyYAML License information regarding MADlib and included third-party libraries can be found inside the license directory.