R/FiltorProxy.R
dict_filtors_proxy.Rd
Filtor that performs the operation in its operation
configuration parameter. This can be used to make filtor operations fully parametrizable.
operation
:: Filtor
Operation to perform. Must be set by the user.
This is primed when $prime()
of SelectorProxy
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 SelectorProxy
objects, then it is recommended to $clone(deep = TRUE)
the object before assigning them to operation
to avoid
frequent re-priming.
This Selector
can be created with the short access form sel()
(sels()
to get a list), or through the the dictionary
dict_selectors
in the following way:
Other filtors:
Filtor
,
FiltorSurrogate
,
dict_filtors_maybe
,
dict_filtors_null
,
dict_filtors_surprog
,
dict_filtors_surtour
Other filtor wrappers:
dict_filtors_maybe
miesmuschel::MiesOperator
-> miesmuschel::Filtor
-> FiltorProxy
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.
param_set
(ParamSet
)
Passed to MiesOperator
$prime()
.
invisible self
.
library("mlr3")
library("mlr3learners")
fp = ftr("proxy")
p = ps(x = p_dbl(-5, 5))
known_data = data.frame(x = 1:5)
fitnesses = 1:5
new_data = data.frame(x = c(2.5, 4.5))
fp$param_set$values$operation = ftr("null")
fp$prime(p)
fp$operate(new_data, known_data, fitnesses, 1)
#> [1] 1
fp$param_set$values$operation = ftr("surprog", lrn("regr.lm"), filter.pool_factor = 2)
fp$operate(new_data, known_data, fitnesses, 1)
#> [1] 2