tests/testthat/_snaps/mars.md

In tidymodels/parsnip: A Common API to Modeling and Analysis Functions

updating

Code
  expr1 %>% update(num_terms = tune(), nk = tune())
Output
  MARS Model Specification (unknown mode)

  Main Arguments:
    num_terms = tune()

  Engine-Specific Arguments:
    nk = tune()

  Computational engine: earth

bad input

Code
  translate(mars(mode = "regression") %>% set_engine())
Condition
  Error in `set_engine()`:
  ! Missing engine. Possible mode/engine combinations are: classification {earth} and regression {earth}.

Code
  translate(mars() %>% set_engine("wat?"))
Condition
  Error in `set_engine()`:
  x Engine "wat?" is not supported for `mars()`
  i See `show_engines("mars")`.

submodel prediction

Code
  multi_predict(reg_fit, newdata = mtcars[1:4, -1], num_terms = 5)
Condition
  Error in `multi_predict()`:
  ! Please use `new_data` instead of `newdata`.

check_args() works

Code
  spec <- mars(prod_degree = 0) %>% set_engine("earth") %>% set_mode(
    "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `prod_degree` must be a whole number larger than or equal to 1 or `NULL`, not the number 0.

Code
  spec <- mars(num_terms = 0) %>% set_engine("earth") %>% set_mode(
    "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `num_terms` must be a whole number larger than or equal to 1 or `NULL`, not the number 0.

Code
  spec <- mars(prune_method = 2) %>% set_engine("earth") %>% set_mode(
    "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `prune_method` must be a single string or `NULL`, not the number 2.

tidymodels/parsnip documentation built on Feb. 19, 2025, 2:10 a.m.