dict_filtors_proxy {miesmuschel} | R Documentation |
Proxy-Filtor that Filters According to its Configuration Parameter
Description
Filtor that performs the operation in its operation
configuration parameter. This can be used to make filtor operations fully parametrizable.
Configuration Parameters
-
operation
::Filtor
Operation to perform. Must be set by the user. This is primed when$prime()
ofSelectorProxy
is called, and also when$operate()
is called, to make changing the operation as part of self-adaption possible. However, if the same operation gets used inside multipleSelectorProxy
objects, then it is recommended to$clone(deep = TRUE)
the object before assigning them tooperation
to avoid frequent re-priming.
Supported Operand Types
Supported Domain
classes are: p_lgl
('ParamLgl'), p_int
('ParamInt'), p_dbl
('ParamDbl'), p_fct
('ParamFct')
Dictionary
This Selector
can be created with the short access form sel()
(sels()
to get a list), or through the the dictionary
dict_selectors
in the following way:
# preferred: sel("proxy") sels("proxy") # takes vector IDs, returns list of Selectors # long form: dict_selectors$get("proxy")
Super classes
miesmuschel::MiesOperator
-> miesmuschel::Filtor
-> FiltorProxy
Methods
Public methods
Inherited methods
Method new()
Initialize the FiltorProxy
object.
Usage
FiltorProxy$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$operation
object.
Usage
FiltorProxy$prime(param_set)
Arguments
param_set
(
ParamSet
)
Passed toMiesOperator
$prime()
.
Returns
invisible self
.
Method clone()
The objects of this class are cloneable with this method.
Usage
FiltorProxy$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
Other filtors:
Filtor
,
FiltorSurrogate
,
dict_filtors_maybe
,
dict_filtors_null
,
dict_filtors_surprog
,
dict_filtors_surtour
Other filtor wrappers:
dict_filtors_maybe
Examples
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$operate(new_data, known_data, fitnesses, 1)
fp$param_set$values$operation = ftr("surprog", lrn("regr.lm"), filter.pool_factor = 2)
fp$operate(new_data, known_data, fitnesses, 1)