Model predictions across many sub-models — multi_predict.

For some models, predictions can be made on sub-models in the model object.

# S3 method for `_lgb.Booster`
multi_predict(object, new_data, type = NULL, trees = NULL, ...)

Arguments

object: A model_fit object.
new_data: A rectangular data object, such as a data frame.
type: A single character value or NULL. Possible values are "numeric", "class", "prob", "conf_int", "pred_int", "quantile", or "raw". When NULL, predict() will choose an appropriate value based on the model's mode.
trees: An integer vector for the number of trees in the ensemble.
...: Optional arguments to pass to predict.model_fit(type = "raw"), such as type.