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darchSimple 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.
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)Parameters to the darch function
How many benchmark runs to perform
Whether to save benchmarking results to a directory
Path (relative or absolute) including directory where
benchmark results are saved if bench.save is true
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.
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!
Vector of seeds, one for each run. Will be passed to
darch.
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.
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.
List of DArch instances; the results of each call to
darch.
Other darch interface functions: darchTest,
darch, plot.DArch,
predict.DArch, print.DArch
# 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)
# }
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