#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
#
# Adjust the dispersion (e.g. scale by standard deviation) ---------------------
#
#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
StepMultiply <- R6Class(
classname = "step_multiply",
inherit = Step,
public = list(
values = NA_real_,
# step specific variables
initialize = function(terms,
values = 1.0,
role = "predictor",
...) {
# get function parameters to pass to parent
terms <- substitute(terms)
env_list <- get_function_arguments()
env_list$step_name <- "step_multiply"
env_list$type <- "modify"
super$initialize(
terms = terms,
env_list[names(env_list) != "terms"],
...
)
self$values <- values
invisible(self)
},
# multiply column
bake = function(s) {
self$result <- s[["result"]][self$columns] %r*% self$values
return(NULL)
}
)
)
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