R Development Page
Contributed R Packages
Below is a list of all packages provided by project RVowpalWabbit.
Important note for package binaries: R-Forge provides these binaries only for the most recent version of R, but not for older versions. In order to successfully install the packages provided on R-Forge, you have to switch to the most recent version of R or, alternatively, install from the package sources (.tar.gz).
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.|
|Version: 0.0.6 | Last change: 2014-01-05 22:04:42+01 | Rev.: 32|
|Download: (.tar.gz) | (.zip) | Build status: Current | Stable Release: Get RVowpalWabbit 0.0.9 from CRAN|
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