mlr_terminators_stagnation_batch {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 n
batches.
Dictionary
This Terminator can be instantiated via the
dictionary mlr_terminators or with the associated
sugar function trm()
:
mlr_terminators$get("stagnation_batch") trm("stagnation_batch")
Parameters
n
integer(1)
Number of batches to evaluate the performance improvement on, default is 1.threshold
numeric(1)
If the improvement is less thanthreshold
, optimization is stopped, default is0
.
Super class
bbotk::Terminator
-> TerminatorStagnationBatch
Methods
Public methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
TerminatorStagnationBatch$new()
Method is_terminated()
Is TRUE
iff the termination criterion is positive, and FALSE
otherwise.
Usage
TerminatorStagnationBatch$is_terminated(archive)
Arguments
archive
(Archive).
Returns
logical(1)
.
Method clone()
The objects of this class are cloneable with this method.
Usage
TerminatorStagnationBatch$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
Examples
TerminatorStagnationBatch$new()
trm("stagnation_batch", n = 1, threshold = 1e-5)