Summarizes the fitted event and censoring ensembles, including learner names,
ensemble weights, cross-validated risks, error flags, prediction dimensions,
and recorded timing information.
Usage
# S3 method for class 'SuperSurv'
summary(object, ...)
# S3 method for class 'summary.SuperSurv'
print(x, digits = max(3L, getOption("digits") - 3L), ...)
Arguments
- object
A fitted object of class "SuperSurv".
- ...
Additional arguments ignored.
- x
A summary object produced by summary.SuperSurv().
- digits
Number of significant digits to use for displayed weights and
risks.
Value
An object of class "summary.SuperSurv", a list containing the
matched call, selection mode, event and censoring learner summaries,
prediction dimensions, and timing information.
