vw | R Documentation |
The vw
function applies the Vowpal Wabbit on-line learner
to a given data set and model.
Vowpal Wabbit is a project sponsored by Yahoo! Research and led by John Langford.
At present, this package provides a simple yet crude interface.
vw(args, quiet=TRUE)
args |
A character vector containing the same arguments one would
use on the command-line with the standalone |
quiet |
A boolean switch which, if set, suppresses most output to stdout. |
Vowpal Wabbit is a very fast on-line machine learning application. Some documentation for it is provided via the upstream wiki referenced below.
The vw
returns a small data.frame with a number of summary
statistics function returns a character string of a fixed
length containing the requested digest of the supplied R object. For
MD5, a string of length 32 is returned; for SHA-1, a string of length
40 is returned; for CRC32 a string of length 8.
The RVowpalWabbit package contains the original test and
validattion data, models, and output. In order to call the vw
function with relative path names (as in the Vowpal Wabbit
documentation), it is easiest to first change to a directory above all
these files as for example via
## change to 'test' directory of package setwd( system.file("test", package="RVowpalWabbit") )
which computes where the package is installed, and then adds the
test
directory to that path before changing to working
directory to the resulting path.
Dirk Eddelbuettel edd@debian.org for the R interface; John Langford along with Daniel Hsu, Nikos Karampatziakis, Olivier Chapelle, Paul Mineiro, Matt Hoffman, Jake Hofman, Sudarshan Lamkhede, Shubham Chopra, Ariel Faigon, Lihong Li, Gordon Rios, and Alex Strehl for Vowpal Wabbit.
https://github.com/VowpalWabbit/vowpal_wabbit/wiki
## also see demo(vw) from which this is a subset library(RVowpalWabbit) # Test 3: without -d, training only # {VW} train-sets/0002.dat -f models/0002.model test3 <- c("-t", system.file("test", "train-sets", "0002.dat", package="RVowpalWabbit"), "-f", file.path(tempdir(), "0002.model"), "--cache_file", file.path(tempdir(), "0002.cache")) res <- vw(test3) res
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.