Apache MADlib - Apache MADlib - Apache Software Foundation
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Apache MADlib
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Apache MADlib
Created by
Gavin McDonald
, last modified by
Frank McQuillan
on
Feb 11, 2021
MADlib graduated to an Apache Top Level Project on 7/19/17.
Read the press release.
Apache MADlib® is an open-source library for scalable in-database analytics.
It provides data-parallel implementations of mathematical, statistical,
graph and machine learning methods for structured and unstructured data.
Quick Start Guides
Installation Guide
Quick Start Guide for Users
Quick Start Guide for Developers
Quick start Jupyter notebooks for many MADlib algorithms
General Information
MADlib website
Greenplum database YouTube channel with MADlib content
Module and algorithm documentation
FAQ
Developer Documentation
Source code repo
Contribution Guidelines
Documentation Guide (Doxygen)
Ideas for contribution
Algorithm technical design document
Architecture
Architecture
Module Anatomy
Release Notes
Release notes
Downloads
Licensing
License information regarding MADlib and included third-party libraries can be found inside the
license
directory.  ASF licensing guidance for MADlib pertaining to its pre-Apache history as an open source project with BSD licensing
is described here
Papers
MAD Skills : New Analysis Practices for Big Data (VLDB 2009)
Hybrid In-Database Inference for Declarative Information Extraction (SIGMOD 2011)
Towards a Unified Architecture for In-Database Analytics (SIGMOD 2012)
The MADlib Analytics Library or MAD Skills, the SQL (VLDB 2012)
Related Software
PivotalR
- lets the user run the functions of the open-source big-data machine learning package MADlib directly from R.
PyMADlib
- a nascent Python wrapper for MADlib, which brings you the power and flexibility of python with the number crunching power of MADlib.
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