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Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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/*
Copyright (c) by respective owners including Yahoo!, Microsoft, and
individual contributors. All rights reserved.  Released under a BSD (revised)
license as described in the file LICENSE.
 */

Build Status

This is the vowpal wabbit fast online learning code. For Windows, look at README.windows.txt

You can download the latest version from here: https://github.com/JohnLangford/vowpal_wabbit/wiki/Download

Alternatively, the very latest version is available here:

git clone git://github.com/JohnLangford/vowpal_wabbit.git

You should be able to build it on most systems with: make (make test)

If that fails, try:

./autogen.sh
make
(make test)
make install

Note that ./autogen.sh requires automake.On OSX, this implies installing 'glibtools'.

For OSX: if make fails with errors then try:

brew install libtool
brew install boost --with-python

This will install appropriate versions of 'glibtools' and 'boost' on OSX.

Options that were passed to ./configure in 7.6 and earlier may now be passed to ./autogen.sh.

Be sure to read the wiki: https://github.com/JohnLangford/vowpal_wabbit/wiki for the tutorial, command line options, etc.

The 'cluster' directory has it's own documentation for cluster parallel use, and the examples at the end of test/Runtests give some example flags.

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Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

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