re_registration.md
In parsnip: A Common API to Modeling and Analysis Functions

re-registration of fit information

Code
  set_fit(model = "bart", eng = "dbarts", mode = "regression", value = list(
    interface = "data.frame", data = c(x = "x.train", y = "y.train"), protect = c(
      "x", "y"), func = c(pkg = "dbarts", fun = "bart"), defaults = list(verbose = TRUE,
      keeptrees = TRUE, keepcall = FALSE)))
Condition
  Error in `set_fit()`:
  ! The combination of engine `dbarts` and mode `regression` already has fit data for model `bart` and the new information being registered is different.

re-registration of encoding information

Code
  set_encoding(model = "bart", eng = "dbarts", mode = "regression", options = list(
    predictor_indicators = "none", compute_intercept = TRUE, remove_intercept = FALSE,
    allow_sparse_x = FALSE))
Condition
  Error in `set_encoding()`:
  ! The combination of engine `dbarts` and mode `regression` already has encoding data for model `bart` and the new information being registered is different.

re-registration of prediction information

Code
  set_pred(model = "bart", eng = "dbarts", mode = "regression", type = "numeric",
    value = list(pre = NULL, post = NULL, func = c(pkg = "parsnip", fun = "dbart_predict_calc"),
    args = list(obj = quote(object), new_data = quote(new_data), type = "tuba")))
Condition
  Error in `set_pred()`:
  ! The combination of engine `dbarts` and mode `regression` and prediction type "numeric" already has predict data for model `bart` and the new information being registered is different.