target.evaluator.default is the default targetEvaluator function that is
invoked if targetEvaluator is a string (by default
targetEvaluator is NULL and this function is not invoked). You can use it as
an advanced example of how to create your own targetEvaluator function.
target.evaluator.default(experiment, num.configurations, all.conf.id, scenario,
target.runner.call)A list describing the experiment. It contains at least:
id.configurationAn alphanumeric string that uniquely identifies a configuration;
id.instanceAn alphanumeric string that uniquely identifies an instance;
seedSeed for the random number generator to be used for this evaluation, ignore the seed for deterministic algorithms;
instanceString giving the instance to be used for this evaluation;
bound(only when capping is enabled) Time bound for the execution;
configuration1-row data frame with a column per parameter name;
switchesVector of parameter switches (labels) in the order
of parameters used in configuration.
Number of configurations alive in the race.
Vector of configuration IDs of the alive configurations.
Options passed when invoking irace.
String describing the call to targetRunner that
corresponds to this call to targetEvaluator. This is used for
providing extra information to the user, for example, in case
targetEvaluator fails.
The function targetEvaluator must return a list with one element
"cost", the numerical value corresponding to the cost measure of the
given configuration on the given instance.
The return list may also contain the following optional elements that are used
by irace for reporting errors in targetEvaluator:
erroris a string used to report an error;
outputRawis a string used to report the raw output of calls to an external program or function;
callis a string used to report how targetRunner called
an external program or function.