step_invlogit
creates a specification of a recipe
step that will transform the data from real values to be between
zero and one.
step_invlogit(recipe, ..., role = NA, trained = FALSE,
columns = NULL, skip = FALSE, id = rand_id("invlogit"))# S3 method for step_invlogit
tidy(x, ...)
A recipe object. The step will be added to the sequence of operations for this recipe.
One or more selector functions to choose which
variables are affected by the step. See selections()
for more details. For the tidy
method, these are not
currently used.
Not used by this step since no new variables are created.
A logical to indicate if the quantities for preprocessing have been estimated.
A character string of variable names that will
be populated (eventually) by the terms
argument.
A logical. Should the step be skipped when the
recipe is baked by bake.recipe()
? While all operations are baked
when prep.recipe()
is run, some operations may not be able to be
conducted on new data (e.g. processing the outcome variable(s)).
Care should be taken when using skip = TRUE
as it may affect
the computations for subsequent operations
A character string that is unique to this step to identify it.
A step_invlogit
object.
An updated version of recipe
with the new step
added to the sequence of existing steps (if any). For the
tidy
method, a tibble with columns terms
which
is the columns that will be affected.
The inverse logit transformation takes values on the
real line and translates them to be between zero and one using
the function f(x) = 1/(1+exp(-x))
.
step_logit()
step_log()
step_sqrt()
step_hyperbolic()
recipe()
prep.recipe()
bake.recipe()
# NOT RUN {
data(biomass)
biomass_tr <- biomass[biomass$dataset == "Training",]
biomass_te <- biomass[biomass$dataset == "Testing",]
rec <- recipe(HHV ~ carbon + hydrogen + oxygen + nitrogen + sulfur,
data = biomass_tr)
ilogit_trans <- rec %>%
step_center(carbon, hydrogen) %>%
step_scale(carbon, hydrogen) %>%
step_invlogit(carbon, hydrogen)
ilogit_obj <- prep(ilogit_trans, training = biomass_tr)
transformed_te <- bake(ilogit_obj, biomass_te)
plot(biomass_te$carbon, transformed_te$carbon)
# }
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