Merge pull request #841 from tidymodels/remove-fit_xy.rand_forest

Remove `fit_xy.rand_forest()`

Author: hfrick

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: parsnip
 Title: A Common API to Modeling and Analysis Functions
-Version: 1.0.2.9004
+Version: 1.0.2.9005
 Authors@R: c(
     person("Max", "Kuhn", , "max@rstudio.com", role = c("aut", "cre")),
     person("Davis", "Vaughan", , "davis@rstudio.com", role = "aut"),

NAMESPACE

@@ -9,7 +9,6 @@ S3method(fit,model_spec)
 S3method(fit_xy,decision_tree)
 S3method(fit_xy,gen_additive_mod)
 S3method(fit_xy,model_spec)
-S3method(fit_xy,rand_forest)
 S3method(glance,model_fit)
 S3method(has_multi_predict,default)
 S3method(has_multi_predict,model_fit)

R/rand_forest.R

@@ -164,24 +164,3 @@ check_args.rand_forest <- function(object) {
   invisible(object)
 }
 
-# ------------------------------------------------------------------------------
-
-#' @export
-fit_xy.rand_forest <- function(object,
-                               x,
-                               y,
-                               case_weights = NULL,
-                               control = parsnip::control_parsnip(),
-                               ...) {
-
-  if (object$mode == "censored regression" && object$engine == "aorsf") {
-    # CRAN aorsf::orsf() requires two variables on the left-hand side of the formula,
-    # either in as `Surv(time, status) ~ .` or as `time + status ~ .`
-    # see https://github.com/ropensci/aorsf/issues/11
-    rlang::abort("For the `'aorsf'` engine, please use the formula interface via `fit()`.")
-  }
-
-  # call parsnip::fit_xy.model_spec()
-  res <- NextMethod()
-  res
-}