Predict using an XGBoost model

Usage

tl_predict_xgboost(
  model,
  new_data,
  type = "response",
  iterationrange = NULL,
  ntreelimit = NULL,
  ...
)

model: A tidylearn XGBoost model object
new_data: A data frame containing the new data
type: Type of prediction: "response" (default), "prob" (for classification), "class" (for classification)
iterationrange: Boosting iterations to predict with, as c(start, end) – base-1 and inclusive of both ends, so c(1, 20) predicts from the first twenty iterations and end may not exceed the number fitted. NULL (default) uses every iteration.
ntreelimit: Deprecated. Use iterationrange instead. ntreelimit = n is translated to c(1, n).
...: Additional arguments

Predictions