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![](./doc/imgs/magnetic-icon.png) ![](./doc/imgs/agile-icon.png) ![](./doc/imgs/deep-icon.png) | ||
================================================= | ||
**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. | ||
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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) | ||
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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`](doc/user/html/index.html). | ||
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Architecture | ||
============= | ||
The following block-diagram gives a high-level overview of MADlib's | ||
architecture. | ||
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![MADlib Architecture](./doc/imgs/architecture.png) | ||
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Third Party Components | ||
====================== | ||
MADlib incorporates material from the following third-party components | ||
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1. [`argparse 1.2.1`](http://code.google.com/p/argparse/) "provides an easy, declarative interface for creating command line tools" | ||
2. [`Boost 1.46.1 (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 3.0.3`](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" | ||
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Licensing | ||
========== | ||
License information regarding MADlib and included third-party libraries can be | ||
found inside the [`license`](/license) directory. | ||
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Release Notes | ||
============= | ||
Changes between MADlib versions are described in the | ||
[`ReleaseNotes.txt`](/ReleaseNotes.txt) file. | ||
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Papers and Talks | ||
================= | ||
* [`MAD Skills : New Analysis Practices for Big Data (VLDB 2009)`](http://db.cs.berkeley.edu/papers/vldb09-madskills.pdf) | ||
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Related Software | ||
================= | ||
* [`PivotalR`](https://github.com/madlib-internal/PivotalR) - PivotalR also lets | ||
the user to 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`. |
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