Abstract input transformation class.
An input transformation can be used within a Surrogate to perform a transformation of the feature variables.
label(character(1))
Label for this object.
man(character(1))
String in the format [pkg]::[topic] pointing to a manual page for this object.
packages(character())
Set of required packages.
A warning is signaled if at least one of the packages is not installed, but loaded (not attached) later on-demand via requireNamespace().
state(named list() | NULL)
List of meta information regarding the parameters and their state.
search_space(paradox::ParamSet)
Search space.
cols_x(paradox::ParamSet)
Column ids of feature variables that should be transformed.
new()Creates a new instance of this R6 class.
InputTrafo$new(label = NA_character_, man = NA_character_)label(character(1))
Label for this object.
man(character(1))
String in the format [pkg]::[topic] pointing to a manual page for this object.
update()Learn the transformation based on observed data and update parameters in $state.
Must be implemented by subclasses.
InputTrafo$update(xdt)xdt(data.table::data.table())
Data. One row per observation with at least columns $cols_x.
transform()Perform the transformation. Must be implemented by subclasses.
InputTrafo$transform(xdt)xdt(data.table::data.table())
Data. One row per observation with at least columns $cols_x.
data.table::data.table() with the transformation applied to the columns $cols_x (if applicable) or a subset thereof.
(character(1)).
(character()).
clone()The objects of this class are cloneable with this method.
InputTrafo$clone(deep = FALSE)deepWhether to make a deep clone.
Other Input Transformation:
InputTrafoUnitcube,
mlr_input_trafos