| 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)
deepWhether 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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