| Terminator {bbotk} | R Documentation |
Abstract Terminator class that implements the base functionality each
terminator must provide. A terminator is an object that determines when to
stop the optimization.
Termination of optimization works as follows:
Evaluations in a instance are performed in batches.
Before each batch evaluation, the Terminator is checked, and if it is positive, we stop.
The optimization algorithm itself might decide not to produce any more points, or even might decide to do a smaller batch in its last evaluation.
Therefore the following note seems in order: While it is definitely possible to execute a fine-grained control for termination, and for many optimization algorithms we can specify exactly when to stop, it might happen that too few or even too many evaluations are performed, especially if multiple points are evaluated in a single batch (c.f. batch size parameter of many optimization algorithms). So it is advised to check the size of the returned archive, in particular if you are benchmarking multiple optimization algorithms.
param_setparadox::ParamSet
Set of control parameters for terminator.
propertiescharacter()
Set of properties.
new()Creates a new instance of this R6 class.
Terminator$new(param_set = ParamSet$new(), properties = character())
param_set(paradox::ParamSet)
Set of control parameters for terminator.
properties(character())
Set of properties.
format()Helper for print outputs.
Terminator$format()
print()Printer.
Terminator$print(...)
...(ignored).
clone()The objects of this class are cloneable with this method.
Terminator$clone(deep = FALSE)
deepWhether to make a deep clone.
Other Terminator:
mlr_terminators_clock_time,
mlr_terminators_combo,
mlr_terminators_evals,
mlr_terminators_none,
mlr_terminators_perf_reached,
mlr_terminators_run_time,
mlr_terminators_stagnation_batch,
mlr_terminators_stagnation,
mlr_terminators