|    |
| ================================================= |
| **MADlib<sup>®</sup>** 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. |
| |
| Installation and Contribution |
| ============================== |
| See the project webpage [`MADlib Home`](http://madlib.net) for links to the |
| latest binary and source packages. For installation and contribution guides, |
| please see [`MADlib Wiki`](https://github.com/madlib/madlib/wiki) |
| |
| User and Developer Documentation |
| ================================== |
| The latest documentation of MADlib modules can be found at [`MADlib |
| Docs`](http://doc.madlib.net) or can be accessed directly from the MADlib |
| installation directory by opening `doc/user/html/index.html`. |
| |
| |
| Architecture |
| ============= |
| The following block-diagram gives a high-level overview of MADlib's |
| architecture. |
| |
| |
|  |
| |
| |
| Third Party Components |
| ====================== |
| MADlib incorporates material from the following third-party components |
| |
| 1. [`argparse 1.2.1`](http://code.google.com/p/argparse/) "provides an easy, declarative interface for creating command line tools" |
| 2. [`Boost 1.47.0 (or newer)`](http://www.boost.org/) "provides peer-reviewed portable C++ source libraries" |
| 3. [`CERN ROOT`](http://root.cern.ch/) "is an object oriented framework for large scale data analysis" |
| 4. [`doxypy 0.4.2`](http://code.foosel.org/doxypy) "is an input filter for Doxygen" |
| 5. [`Eigen 3.2.2`](http://eigen.tuxfamily.org/index.php?title=Main_Page) "is a C++ template library for linear algebra" |
| 6. [`PyYAML 3.10`](http://pyyaml.org/wiki/PyYAML) "is a YAML parser and emitter for Python" |
| 7. [`PyXB 1.2.4`](http://pyxb.sourceforge.net/) "is a Python library for XML Schema Bindings" |
| |
| Licensing |
| ========== |
| License information regarding MADlib and included third-party libraries can be |
| found inside the [`license`](https://github.com/madlib/madlib/blob/master/license) directory. |
| |
| Release Notes |
| ============= |
| Changes between MADlib versions are described in the |
| [`ReleaseNotes.txt`](https://github.com/madlib/madlib/blob/master/ReleaseNotes.txt) file. |
| |
| Papers and Talks |
| ================= |
| * [`MAD Skills : New Analysis Practices for Big Data (VLDB 2009)`](http://db.cs.berkeley.edu/papers/vldb09-madskills.pdf) |
| * [`Hybrid In-Database Inference for Declarative Information Extraction (SIGMOD 2011)`](http://www.cise.ufl.edu/~daisyw/sigmod11.pdf) |
| * [`Towards a Unified Architecture for In-Database Analytics (SIGMOD 2012)`](http://www.cs.stanford.edu/~chrismre/papers/bismarck-full.pdf) |
| * [`The MADlib Analytics Library or MAD Skills, the SQL (VLDB 2012)`](http://www.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-38.html) |
| |
| |
| Related Software |
| ================= |
| * [`PivotalR`](https://github.com/madlib-internal/PivotalR) - PivotalR also |
| lets the user run the functions of the open-source big-data machine learning |
| package `MADlib` directly from R. |
| * [`PyMADlib`](https://github.com/gopivotal/pymadlib) - PyMADlib is a python |
| wrapper for MADlib, which brings you the power and flexibility of python |
| with the number crunching power of `MADlib`. |
