Predict using a gradient boosting model
Usage
tl_predict_boost(model, new_data, type = "response", n.trees = NULL, ...)
Arguments
- model
A tidylearn boost model object
- new_data
A data frame containing the new data
- type
Type of prediction: "response"
(default), "prob" (for classification)
- n.trees
Number of trees to use for prediction
(if NULL, uses optimal number)
- ...
Additional arguments
