step_logit {recipes} | R Documentation |
step_logit
creates a specification of a recipe step that will
logit transform the data.
step_logit(recipe, ..., role = NA, trained = FALSE, columns = NULL)
recipe |
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 |
role |
Not used by this step since no new variables are created. |
trained |
A logical to indicate if the quantities for preprocessing have been estimated. |
columns |
A character string of variable names that will be (eventually)
populated by the |
The inverse logit transformation takes values between zero and one
and translates them to be on the real line using the function
f(p) = log(p/(1-p))
.
An updated version of recipe
with the
new step added to the sequence of existing steps (if any).
step_invlogit
step_log
step_sqrt
step_hyperbolic
recipe
prep.recipe
bake.recipe
set.seed(313) examples <- matrix(runif(40), ncol = 2) examples <- data.frame(examples) rec <- recipe(~ X1 + X2, data = examples) logit_trans <- rec %>% step_logit(all_predictors()) logit_obj <- prep(logit_trans, training = examples) transformed_te <- bake(logit_obj, examples) plot(examples$X1, transformed_te$X1)