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Overview
RVowpalWabbit connects GNU R to the very impressive Vowpal Wabbit fast out-of-core learning system.
Status
As of right now (in September 2011), the R wrapping is bare-bones. The package builds cleanly, and is on the CRAN network at this page.
It should build on all Unix-alike systems; the sole external requirement
(besides GNU R and the
Rcpp
interface between C++ and R) is
the Boost.Program_options
library which configure will attempt to locate.
At present, arguments are supplied in essentially the same way as for the
command-line version vw, but directly from R as a vector of
strings. Running demo(vw) after loading the program shows a few
examples which correspond to the regression tests in the upstream sources.
Download
From this machine, you can get the most recent tar archive, or simply peruse the entire directory.Alternatively, you can also get it the Comprehensive R Archive Network (CRAN) node in the src/contrib directory or via at its page.
Installation
The easiest way is probably to simply sayinstall.package("RVowpalWabbit") from inside GNU R. Alternative, R CMD
INSTALL RVowpalWabbit_*.tar.gz will install from command prompt.