Function reference • lightsnip

Functions
Parsnip bindings This package includes parsnip bindings and functions which add lightgbm to the parsnip `boost_tree()` model. These bindings load when the package loads.
`add_boost_tree_lightgbm()`	Wrapper to add `lightgbm` engine to the parsnip `boost_tree` model specification. Gets called when the package loads
`train_lightgbm()`	Boosted trees via LightGBM
`pred_lgb_reg_num()`	predict_lightgbm_regression_numeric
`multi_predict(<_lgb.Booster>)`	Model predictions across many sub-models
LightGBM hyperparameters LightGBM dials:: paramter functions that can be used with tune_ functions. Pass them to set_engine to use.
`max_bin()` `max_depth()` `add_to_linked_depth()` `learning_rate()` `feature_fraction()` `feature_fraction_bynode()` `min_data_in_leaf()` `min_gain_to_split()` `num_leaves()` `bagging_fraction()` `bagging_freq()` `min_data_per_group()` `max_cat_threshold()` `lambda_l1()` `lambda_l2()` `cat_smooth()` `cat_l2()`	LightGBM engine-specific hyperparameters
Tidymodels helpers Utility functions for common Tidymodels tasks, such as predicting on new data, cleaning outputs, and saving/loading fit objects.
`axe_recipe()`	Strip environment data from recipe objects to shrink their size
`axe_tune_data()`	Strip attribute data from CV objects to shrink their size
`lgbm_load()`	Load a LightGBM model from disk
`lgbm_save()`	Save a LightGBM model to disk

Reference