Make predictions using a pipeline

Usage

tl_predict_pipeline(
  pipeline,
  new_data,
  type = "response",
  model_name = NULL,
  ...
)

Arguments

pipeline: A tidylearn pipeline object with results
new_data: A data frame containing the new data
type: Type of prediction (default: "response")
model_name: Name of model to use (if NULL, uses the best model)
...: Additional arguments passed to predict

Value

A tibble with a .pred column containing predictions from the selected (or best) pipeline model, after applying the same preprocessing steps used during training.