multi_predict._lgb.Booster: Model predictions across many sub-models

In curso-r/treesnip: Tree-Based Model Engines for 'parsnip'

Model predictions across many sub-models

Description

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

Usage

## S3 method for class ''_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.

curso-r/treesnip documentation built on May 7, 2022, 1:10 a.m.