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 than threshold, optimization is stopped, default is 0.

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)

[Package bbotk version 0.8.0 Index]