Vowpal Wabbit

Vowpal Wabbit
Developer(s) Yahoo! Research & later Microsoft Research
Stable release 8.0 / June 27, 2015 (2015-06-27)
Development status Active
Written in C++
Operating system Linux, OS-X, Microsoft Windows
Type machine learning
License BSD License
Website hunch.net/~vw/

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.

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.[1] Its scalability is aided by several factors:

External links

References


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