dict_scalors_proxy | R Documentation |
Scalor
that performs the operation in its operation
configuration parameter. This is useful, e.g., to make
SelectorBest
's operation fully parametrizable.
operation
:: Scalor
Operation to perform. Initialized to ScalorSingleObjective
.
This is primed when $prime()
of ScalorProxy
is called, and also when $operate()
is called, to make changing
the operation as part of self-adaption possible. However, if the same operation gets used inside multiple ScalorProxy
objects, then it is recommended to $clone(deep = TRUE)
the object before assigning them to operation
to avoid
frequent re-priming.
Supported Domain
classes are: p_lgl
('ParamLgl'), p_int
('ParamInt'), p_dbl
('ParamDbl'), p_fct
('ParamFct')
This Scalor
can be created with the short access form scl()
(scls()
to get a list), or through the the dictionary
dict_scalors
in the following way:
# preferred: scl("proxy") scls("proxy") # takes vector IDs, returns list of Scalors # long form: dict_scalors$get("proxy")
miesmuschel::MiesOperator
-> miesmuschel::Scalor
-> ScalorProxy
new()
Initialize the ScalorProxy
object.
ScalorProxy$new()
prime()
See MiesOperator
method. Primes both this operator, as well as the operator given to the operation
configuration parameter.
Note that this modifies the $param_set$values$operation
object.
ScalorProxy$prime(param_set)
param_set
(ParamSet
)
Passed to MiesOperator
$prime()
.
invisible self
.
clone()
The objects of this class are cloneable with this method.
ScalorProxy$clone(deep = FALSE)
deep
Whether to make a deep clone.
Other scalors:
Scalor
,
dict_scalors_aggregate
,
dict_scalors_domcount
,
dict_scalors_fixedprojection
,
dict_scalors_hypervolume
,
dict_scalors_nondom
,
dict_scalors_one
,
dict_scalors_single
Other scalor wrappers:
dict_scalors_aggregate
,
dict_scalors_fixedprojection
set.seed(1)
sp = scl("proxy")
p = ps(x = p_dbl(-5, 5))
# dummy data; note that ScalorOne does not depend on data content
data = data.frame(x = rep(0, 5))
fitnesses = c(1, 5, 2, 3, 0)
sp$param_set$values$operation = scl("one")
sp$prime(p)
sp$operate(data, fitnesses)
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