darchBench: Benchmarking wrapper for 'darch'

In darch: Package for Deep Architectures and Restricted Boltzmann Machines

Description

Simple benchmarking function which wraps around the darch function for users who can't or don't want to use the caret package for benchmarking. This function requires the foreach package to work, and will perform parallel benchmarks if an appropriate backend was registered beforehand.

Usage

darchBench(..., bench.times = 1, bench.save = F,
  bench.dir = "./darch.benchmark", bench.continue = T, bench.delete = F,
  bench.seeds = NULL, output.capture = bench.save, logLevel = NULL)

Arguments

...	Parameters to the darch function
bench.times	How many benchmark runs to perform
bench.save	Whether to save benchmarking results to a directory
bench.dir	Path (relative or absolute) including directory where benchmark results are saved if bench.save is true
bench.continue	Whether the benchmark is to be continued from an earlier run. If TRUE, existing benchmark results are looked for in the directory given in bench.dir and new results are appended. If both this and bench.continue are FALSE and the directory given in bench.dir does already exist, the training will be aborted with an error.
bench.delete	Whether to delete the contents of bench.dir if bench.continue is FALSE. Caution: This will attempt to delete ALL files in the given directory, use at your own risk!
bench.seeds	Vector of seeds, one for each run. Will be passed to darch.
output.capture	Whether to capture R output in .Rout files in the given directory. This is the only way of gaining access to the R output since the foreach loop will not print anything to the console. Will be ignored if bench.save is FALSE.
logLevel	futile.logger log level. Uses the currently set log level by default, which is futile.logger::flog.info if it was not changed. Other available levels include, from least to most verbose: FATAL, ERROR, WARN, DEBUG, and TRACE.

Value

List of DArch instances; the results of each call to darch.

See Also

Other darch interface functions: darchTest, darch, plot.DArch, predict.DArch, print.DArch

Examples

## Not run: 
data(iris)
modelList <- darchBench(Species ~ ., iris, c(0, 50, 0),
 preProc.params = list(method = c("center", "scale")),
 darch.unitFunction = c("sigmoidUnit", "softmaxUnit"),
 darch.numEpochs = 30, bench.times = 10, bench.save = T)

## End(Not run)

darch documentation built on May 29, 2017, 8:14 p.m.