predict_pro: Generic Prediction Interface for Prognostic Models

In E2E: Ensemble Learning Framework for Diagnostic and Prognostic Modeling

Generic Prediction Interface for Prognostic Models

Description

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).

E2E documentation built on March 22, 2026, 1:07 a.m.