RVowpalWabbit: 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.