tests/testthat/_snaps/rand_forest_ranger.md

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

ranger classification execution

Code
  res <- fit(lc_ranger, funded_amnt ~ Class + term, data = lending_club, control = ctrl)
Condition
  Error in `check_outcome()`:
  ! For a classification model, the outcome should be a <factor>, not an integer vector.

ranger classification probabilities

Code
  parsnip:::predict_classprob.model_fit(no_prob_model, new_data = lending_club[1:
  6, num_pred])
Condition
  Error in `predict()`:
  ! `ranger` model does not appear to use class probabilities.
  i Was the model fit with `probability = TRUE`?

ranger regression intervals

Code
  rgr_se <- predict(extract_fit_engine(xy_fit), data = head(ames_x, 3), type = "se")$
    se
Condition
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `sqrt()`:
  NaNs produced

Code
  parsnip_int <- predict(xy_fit, new_data = head(ames_x, 3), type = "conf_int",
  std_error = TRUE, level = 0.93)
Condition
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `sqrt()`:
  NaNs produced

ranger classification intervals

Code
  rgr_se <- predict(extract_fit_engine(lc_fit), data = tail(lending_club), type = "se")$
    se
Condition
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `sqrt()`:
  NaNs produced

Code
  parsnip_int <- predict(lc_fit, new_data = tail(lending_club), type = "conf_int",
  std_error = TRUE, level = 0.93)
Condition
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `rInfJack()`:
  Sample size <=20, no calibration performed.
  Warning in `sqrt()`:
  NaNs produced

argument checks for data dimensions

Code
  f_fit <- spec %>% fit(body_mass_g ~ ., data = penguins)
Condition
  Warning:
  ! 1000 columns were requested but there were 6 predictors in the data.
  i 6 predictors will be used.
  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 columns were requested but there were 6 predictors in the data.
  i 6 predictors will be used.
  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.