Optimization Instance for Asynchronous Optimization
Source:R/OptimInstanceAsync.R
OptimInstanceAsync.Rd
The OptimInstanceAsync
specifies an optimization problem for an OptimizerAsync.
The function oi_async()
creates an OptimInstanceAsyncSingleCrit or OptimInstanceAsyncMultiCrit.
Details
OptimInstanceAsync
is an abstract base class that implements the base functionality each instance must provide.
Super class
bbotk::OptimInstance
-> OptimInstanceAsync
Methods
Inherited methods
Method new()
Creates a new instance of this R6 class.
Usage
OptimInstanceAsync$new(
objective,
search_space = NULL,
terminator,
check_values = FALSE,
callbacks = NULL,
archive = NULL,
rush = NULL,
label = NA_character_,
man = NA_character_
)
Arguments
objective
(Objective)
Objective function.search_space
(paradox::ParamSet)
Specifies the search space for the Optimizer. The paradox::ParamSet describes either a subset of thedomain
of the Objective or it describes a set of parameters together with atrafo
function that transforms values from the search space to values of the domain. Depending on the context, this value defaults to the domain of the objective.terminator
Terminator
Termination criterion.check_values
(
logical(1)
)
Should points before the evaluation and the results be checked for validity?callbacks
(list of mlr3misc::Callback)
List of callbacks.archive
(Archive).
rush
(
Rush
)
If a rush instance is supplied, the tuning runs without batches.label
(
character(1)
)
Label for this object. Can be used in tables, plot and text output instead of the ID.man
(
character(1)
)
String in the format[pkg]::[topic]
pointing to a manual page for this object. The referenced help package can be opened via method$help()
.