irace {irace} | R Documentation |
irace
Description
irace
implements iterated Race. It receives some parameters to be tuned
and returns the best configurations found, namely, the elite configurations
obtained from the last iterations (and sorted by rank).
Usage
irace(scenario, parameters)
Arguments
scenario |
( |
parameters |
( |
Details
The function irace
executes the tuning procedure using
the information provided in scenario
and parameters
. Initially it checks
the correctness of scenario
and recovers a previous execution if
scenario$recoveryFile
is set. A R data file log of the execution is created
in scenario$logFile
.
Value
(data.frame
)
A data frame with the set of best algorithm configurations found by irace. The data frame has the following columns:
-
.ID.
: Internal id of the candidate configuration. -
Parameter names
: One column per parameter name inparameters
. -
.PARENT.
: Internal id of the parent candidate configuration.
Additionally, this function saves an R data file containing an object called
iraceResults
. The path of the file is indicated in scenario$logFile
.
The iraceResults
object is a list with the following structure:
scenario
The scenario R object containing the irace options used for the execution. See
defaultScenario
for more information.parameters
The parameters R object containing the description of the target algorithm parameters. See
readParameters
.allConfigurations
The target algorithm configurations generated by irace. This object is a data frame, each row is a candidate configuration, the first column (
.ID.
) indicates the internal identifier of the configuration, the following columns correspond to the parameter values, each column named as the parameter name specified in the parameter object. The final column (.PARENT.
) is the identifier of the configuration from which model the actual configuration was sampled.allElites
A list that contains one element per iteration, each element contains the internal identifier of the elite candidate configurations of the corresponding iteration (identifiers correspond to
allConfigurations$.ID.
).iterationElites
A vector containing the best candidate configuration internal identifier of each iteration. The best configuration found corresponds to the last one of this vector.
experiments
A matrix with configurations as columns and instances as rows. Column names correspond to the internal identifier of the configuration (
allConfigurations$.ID.
).experimentLog
A matrix with columns
iteration
,instance
,configuration
,time
. This matrix contains the log of all the experiments that irace performs during its execution. The instance column refers to the index of thescenario$instancesList
data frame. Time is saved ONLY when reported by thetargetRunner
.softRestart
A logical vector that indicates if a soft restart was performed on each iteration. If
FALSE
, then no soft restart was performed.state
A list that contains the state of irace, the recovery is done using the information contained in this object.
testing
A list that contains the testing results. The elements of this list are:
experiments
a matrix with the testing experiments of the selected configurations in the same format as the explained above andseeds
a vector with the seeds used to execute each experiment.
Author(s)
Manuel López-Ibáñez and Jérémie Dubois-Lacoste
See Also
irace.main()
a higher-level interface to
irace
.irace.cmdline()
a command-line interface to
irace
.readScenario()
for reading a configuration scenario from a file.
readParameters()
read the target algorithm parameters from a file.
defaultScenario()
returns the default scenario settings of irace.
checkScenario()
to check that the scenario is valid.
Examples
## Not run:
parameters <- readParameters("parameters.txt")
scenario <- readScenario(filename = "scenario.txt")
irace(scenario = scenario, parameters = parameters)
## End(Not run)