Displays 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, ...)

Arguments

x

An object of class "CoxGradientBoost".

...

Further arguments passed to or from other methods (currently unused).

Value

The input object x, invisibly.

Details

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