tests/testthat/_snaps/decision_tree.md

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

updating

Code
  decision_tree(cost_complexity = 0.1) %>% set_engine("rpart", model = FALSE) %>%
    update(cost_complexity = tune(), model = tune())
Output
  Decision Tree Model Specification (unknown mode)

  Main Arguments:
    cost_complexity = tune()

  Engine-Specific Arguments:
    model = tune()

  Computational engine: rpart

bad input

"bogus" is not a known mode for model `decision_tree()`.

Please set the mode in the model specification (`?parsnip::model_spec()`).

Please set the mode in the model specification (`?parsnip::model_spec()`).

Code
  try(translate(decision_tree(), engine = NULL), silent = TRUE)
Message
  Used `engine = 'rpart'` for translation.

argument checks for data dimensions

Code
  f_fit <- spec %>% fit(body_mass_g ~ ., data = penguins)
Condition
  Warning:
  ! 1000 samples were requested but there were 333 rows in the data.
  i 333 samples will be used.

Code
  xy_fit <- spec %>% fit_xy(x = penguins[, -6], y = penguins$body_mass_g)
Condition
  Warning:
  ! 1000 samples were requested but there were 333 rows in the data.
  i 333 samples will be used.

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