Development status Active | Written in C++ | |
Stable release 8.2.0 / June 21, 2016 (2016-06-21) Operating system |
Vowpal Wabbit (also known as "VW") is an open source fast out-of-core learning system library and program developed originally at Yahoo! Research, and currently at Microsoft Research. It was started and is led by John Langford. Vowpal Wabbit is notable as an efficient scalable implementation of online machine learning and support for a number of machine learning reductions, importance weighting, and a selection of different loss functions and optimization algorithms.
Contents
Notable Features
The VW program supports:
Scalability
Vowpal wabbit has been used to learn a tera-feature (1012) data-set on 1000 nodes in one hour. Its scalability is aided by several factors:
References
Vowpal Wabbit Wikipedia(Text) CC BY-SA