A unified S3 generic method to generate prognostic risk scores from
various trained model objects. This decouples the prediction implementation
from the high-level evaluation logic, facilitating extensibility.
Usage
predict_pro(object, newdata, ...)
Arguments
- object
A trained model object with class pro_model.
- newdata
A data frame containing features for prediction.
- ...
Additional arguments passed to specific methods.
Value
A numeric vector representing the prognostic risk score (higher values typically indicate higher risk).