Package: RVowpalWabbit
Title: R interface to the Vowpal Wabbit
Version: 0.0.6
Date: 2014-01-07
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Author: Dirk Eddelbuettel <edd@debian.org>
Description: R interface to Vowpal Wabbit fast out-of-core learning system
 The Vowpal Wabbit (VW) project is a fast out-of-core learning system
 sponsored by Yahoo! Research and written by John Langford along with a
 number of contributors.
 .
   There are two ways to have a fast learning algorithm: (a) start with a slow
 algorithm and speed it up, or (b) build an intrinsically fast learning
 algorithm. This project is about approach (b), and it has reached a state
 where it may be useful to others as a platform for research and
 experimentation.
 .
   There are several optimization algorithms available with the baseline being
 sparse gradient descent (GD) on a loss function (several are available). The
 code should be easily usable. Its only external dependence is on the Boost
 library, which is often installed by default.
 .
   This R package does not include the distributed computing implementation of
 the cluster/ directory of the upstream sources.  Use of the software as a
 network servie is also not directly supported as the aim is a simpler direct
 call from R for validation and comparison.
Depends: R (>= 2.12.0), Rcpp (>= 0.9.6)
LinkingTo: Rcpp
SystemRequirements: The Boost 'program_options' library
        (http://boost.org) is required.
OS_type: unix
License: GPL (>= 2)
URL: https://github.com/JohnLangford/vowpal_wabbit/
        http://dirk.eddelbuettel.com/code/rcpp.html
Packaged: 2014-01-07 17:02:34.989907 UTC; edd
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-07 20:08:16
