Iterated Racing for Automatic Algorithm Configuration
The irace package: tools:::Rd_package_title("irace")
Execute one run of the Iterated Racing algorithm.
Postselection race
Get, set and restore the state of the random number generator state.
Read the log file (log-ablation.Rdata) produced by ablation().
Read the log file produced by irace (irace.Rdata).
Update filesystem paths of a scenario consistently.
checkParameters
Check and correct the given scenario
Print configurations as command-line strings.
Print configurations as a data frame
Default scenario settings
Returns the pairs of instance IDs and seeds used as instances in the r...
Returns the configurations selected by ID.
Returns the configurations by the iteration in which they were execute...
Prints the given scenario
Return the elite configurations of the final iteration.
Check if the results object generated by irace has data about the test...
Launch irace with command-line options.
irace_license
Higher-level interface to launch irace.
Summarise the results of a run of irace
A character string containing the version of irace including git SHA...
Launch ablation with command-line options.
Performs ablation between two configurations (from source to target).
Generate a command-line representation of a configuration
Check the output of the target runner and repair it if possible. If th...
Test that the given irace scenario can be run.
Execute irace() multiple times with the same or different scenarios ...
Create a parameter space to be tuned.
Converts a relative path to an absolute path.
Create plot from an ablation log
Print parameter space in the textual format accepted by irace.
Read parameters in PCS (AClib) format and write them in irace format.
Read parameter configurations from a file
Reads the parameters to be tuned by irace from a file or from a char...
Reads from a file the scenario settings to be used by irace.
removeConfigurationsMetaData
target_evaluator_default
Default targetRunner function.
Execute the given configurations on the testing instances specified in...
Test configurations given an explicit table of configurations and a sc...
Test configurations given in .Rdata file
Iterated race is an extension of the Iterated F-race method for the automatic configuration of optimization algorithms, that is, (offline) tuning their parameters by finding the most appropriate settings given a set of instances of an optimization problem. M. López-Ibáñez, J. Dubois-Lacoste, L. Pérez Cáceres, T. Stützle, and M. Birattari (2016) <doi:10.1016/j.orp.2016.09.002>.
Useful links