Project details for Vowpal Wabbit

Logo Vowpal Wabbit 2.3

by JohnLangford - December 21, 2007, 20:43:40 CET [ Project Homepage BibTeX Download ]

view (2 today), download ( 1 today ), 2 comments, 0 subscriptions

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(based on 2 votes)

This is a large scale online learning implementation with several useful features. See the webpage for more details.

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Supported Operating Systems: Linux
Data Formats: None
Tags: Online Learning
Archive: download here


Ariel Faigon (on August 9, 2010, 06:33:42)
By far the fastest most scalable learning implementation I've used. Ideal for text analysis. On my desktop: generates a model from a 40,000 instances by 25 features in less than 2 seconds. - Supports highly sparse features, e.g. words and bi-grams in documents - Online algorithm (estimated error is test-like) - Very flexible input data format (features can be named, and/or partitioned into name-spaces), examples can be weighted and tagged. More friendly than SVMlight - Supports binary classification and regression - Automatic generation of quadratic features (crosses between given features) - Supports multiple loss functions (squared, hinge, logistic and quantile) The main limitation is that output is a simple weighted linear model and features should be monotonic with response to make sense.
Ariel Faigon (on August 9, 2010, 07:12:43)
Latest version is 4.1 and can be DL'ed from github:

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