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mlr_terminators_evals

Terminator that stops after a number of evaluations


Description

Class to terminate the optimization depending on the number of evaluations. An evaluation is defined by one resampling of a parameter value.

Dictionary

This Terminator can be instantiated via the dictionary mlr_terminators or with the associated sugar function trm():

mlr_terminators$get("evals")
trm("evals")

Parameters

n_evals

integer(1)
Number of allowed evaluations, default is 100L.

Super class

bbotk::Terminator -> TerminatorEvals

Methods

Public methods


Method new()

Creates a new instance of this R6 class.

Usage
TerminatorEvals$new()

Method is_terminated()

Is TRUE iff the termination criterion is positive, and FALSE otherwise.

Usage
TerminatorEvals$is_terminated(archive)
Arguments
archive

(Archive).

Returns

logical(1).


Method clone()

The objects of this class are cloneable with this method.

Usage
TerminatorEvals$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

See Also

Examples

TerminatorEvals$new()
trm("evals", n_evals = 5)

bbotk

Black-Box Optimization Toolkit

v0.3.2
LGPL-3
Authors
Marc Becker [cre, aut] (<https://orcid.org/0000-0002-8115-0400>), Jakob Richter [aut] (<https://orcid.org/0000-0003-4481-5554>), Michel Lang [aut] (<https://orcid.org/0000-0001-9754-0393>), Bernd Bischl [aut] (<https://orcid.org/0000-0001-6002-6980>), Martin Binder [aut], Olaf Mersmann [ctb]
Initial release

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