tests/testthat/_snaps/model-lightgbm.md

In tidypredict: Run Predictions Inside the Database

unsupported objective throws error

Code
  tidypredict_fit(pm)
Condition
  Error in `build_fit_formula_lgb_from_parsed()`:
  ! Unsupported objective: "unsupported_objective".
  i Supported objectives: "regression", "regression_l2", "regression_l1", "huber", "fair", "quantile", "mape", "poisson", "gamma", "tweedie", "binary", "cross_entropy", "multiclass", and "multiclassova".

empty trees throws error

Code
  tidypredict_fit(pm)
Condition
  Error in `build_fit_formula_lgb_from_parsed()`:
  ! Model has no trees.

multiclass with num_class < 2 throws error

Code
  tidypredict_fit(pm)
Condition
  Error in `build_fit_formula_lgb_multiclass_from_parsed()`:
  ! Multiclass model must have num_class >= 2.

multiclass with NULL num_class throws error

Code
  tidypredict_fit(pm)
Condition
  Error in `build_fit_formula_lgb_multiclass_from_parsed()`:
  ! Multiclass model must have num_class >= 2.

build_lgb_nested_condition errors on unknown type

Code
  tidypredict:::build_lgb_nested_condition(condition)
Condition
  Error in `tidypredict:::build_lgb_nested_condition()`:
  ! Unknown path element type: "unknown_type"

tidypredict_test errors for multiclass model

Code
  tidypredict_test(model, xg_df = X)
Condition
  Error in `lgb_booster()`:
  ! tidypredict_test does not support multiclass LightGBM models.
  i Use tidypredict_fit() directly for multiclass predictions.

tidypredict_test errors when matrix not provided

Code
  tidypredict_test(model)
Condition
  Error in `lgb_booster()`:
  ! LightGBM models require a matrix for predictions.
  i Pass the prediction matrix via the `xg_df` argument.

.extract_lgb_trees errors on non-lgb.Booster

Code
  .extract_lgb_trees(list())
Condition
  Error in `.extract_lgb_trees()`:
  ! `model` must be <lgb.Booster>, not an empty list.

tidypredict documentation built on Aug. 24, 2026, 9:10 a.m.