R interface to the Vowpal Wabbit 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. Software Depends: R (>= 2.12.0), Rcpp (>= 0.9.6) LinkingTo: Rcpp Dirk Eddelbuettel <edd@debian.org> Dirk Eddelbuettel <edd@debian.org> GPL (>= 2) 2012-05-20 application/tgz http://CRAN.R-project.org/package=RVowpalWabbit