mlr_terminators_stagnation {bbotk} | R Documentation |
Terminator that stops when optimization does not improve
Description
Class to terminate the optimization after the performance stagnates, i.e.
does not improve more than threshold
over the last iters
iterations.
Dictionary
This Terminator can be instantiated via the
dictionary mlr_terminators or with the associated
sugar function trm()
:
mlr_terminators$get("stagnation") trm("stagnation")
Parameters
iters
integer(1)
Number of iterations to evaluate the performance improvement on, default is 10.threshold
numeric(1)
If the improvement is less thanthreshold
, optimization is stopped, default is0
.
Super class
bbotk::Terminator
-> TerminatorStagnation
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
TerminatorStagnation$new()
Method is_terminated()
Is TRUE
iff the termination criterion is positive, and FALSE
otherwise.
Usage
TerminatorStagnation$is_terminated(archive)
Arguments
archive
(Archive).
Returns
logical(1)
.
Method clone()
The objects of this class are cloneable with this method.
Usage
TerminatorStagnation$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
Other Terminator:
Terminator
,
mlr_terminators
,
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
Examples
TerminatorStagnation$new()
trm("stagnation", iters = 5, threshold = 1e-5)