tests/testthat/_snaps/rand_forest.md

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

updating

Code
  rand_forest(mode = "regression", mtry = 2) %>% set_engine("randomForest",
    sampsize = 10) %>% update(mtry = tune(), sampsize = tune())
Output
  Random Forest Model Specification (regression)

  Main Arguments:
    mtry = tune()

  Engine-Specific Arguments:
    sampsize = tune()

  Computational engine: randomForest

bad input

Code
  res <- translate(rand_forest(mode = "classification") %>% set_engine(NULL))
Condition
  Error in `set_engine()`:
  ! Missing engine. Possible mode/engine combinations are: classification {ranger, randomForest, spark} and regression {ranger, randomForest, spark}.

Code
  rand_forest(mode = "time series")
Condition
  Error in `rand_forest()`:
  ! "time series" is not a known mode for model `rand_forest()`.

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

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