| dict_scalors_proxy {miesmuschel} | R Documentation | 
Proxy-Scalor that Scales According to its Configuration parameter
Description
Scalor that performs the operation in its operation configuration parameter. This is useful, e.g., to make
SelectorBest's operation fully parametrizable.
Configuration Parameters
-  
operation::Scalor
Operation to perform. Initialized toScalorSingleObjective. This is primed when$prime()ofScalorProxyis called, and also when$operate()is called, to make changing the operation as part of self-adaption possible. However, if the same operation gets used inside multipleScalorProxyobjects, then it is recommended to$clone(deep = TRUE)the object before assigning them tooperationto avoid frequent re-priming. 
Supported Operand Types
Supported Domain classes are: p_lgl ('ParamLgl'), p_int ('ParamInt'), p_dbl ('ParamDbl'), p_fct ('ParamFct')
Dictionary
This Scalor can be created with the short access form scl()
(scls() to get a list), or through the the dictionary
dict_scalors in the following way:
# preferred:
scl("proxy")
scls("proxy")  # takes vector IDs, returns list of Scalors
# long form:
dict_scalors$get("proxy")
Super classes
miesmuschel::MiesOperator -> miesmuschel::Scalor -> ScalorProxy
Methods
Public methods
Inherited methods
Method new()
Initialize the ScalorProxy object.
Usage
ScalorProxy$new()
Method 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$operation object.
Usage
ScalorProxy$prime(param_set)
Arguments
param_set(
ParamSet)
Passed toMiesOperator$prime().
Returns
invisible self.
Method clone()
The objects of this class are cloneable with this method.
Usage
ScalorProxy$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
See Also
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
Examples
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)