Summarize a fitted base learner object — summary.base_learner • poissonsuperlearner

Dispatches to the underlying fitted model’s summary() method for the selected cause, or returns a list of summaries for all causes.

Usage

# S3 method for class 'base_learner'
summary(object, cause = 1, ...)

Arguments

object: base_learner returned by fit_learner().
cause: numeric(1) or NULL. Which cause to summarize. If NULL, returns one summary per cause.
...: Passed to the underlying summary() method (learner-dependent).

Value

If cause is a single integer, returns the underlying model summary for that cause. If cause = NULL, returns a list of summaries (one per cause).

Examples

d <- simulateStenoT1(30, competing_risks = TRUE)
lrn <- Learner_glmnet(
  covariates = c("sex", "value_LDL"),
  lambda = 0.01,
  cross_validation = FALSE
)
bl <- fit_learner(
  d,
  learner = lrn,
  id = "id",
  status = "status_cvd",
  event_time = "time_cvd",
  number_of_nodes = 3
)
out <- summary(bl, cause = 1)