Project details for Vowpal Wabbit

Logo Vowpal Wabbit 2.3

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

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(based on 2 votes)
Description:

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 mloss.org.

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

Comments

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: github.com/JohnLangford/vowpal_wabbit/downloads

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