print.CoxGradientBoost.RdDisplays a concise summary of a fitted CoxGradientBoost model,
including the base learner, number of boosting iterations, learning rate,
and basic information about the training data.
# S3 method for class 'CoxGradientBoost'
print(x, ...)The input object x, invisibly.
This method prints key characteristics of the fitted model:
The base learner used in boosting
The number of boosting iterations (\(M\))
The learning rate (\(\nu\))
The number of observations
The number of observed events
The number of unique event times