tests/testthat/_snaps/verbosity.md

In bcjaeger/aorsf: Accelerated Oblique Random Forests

verbosity prints grow, predict, and importance notes

Code
  fit_verbose <- orsf(pbc, time + status ~ ., verbose_progress = TRUE, n_tree = n_tree_test,
  importance = "negate")

Code
  fit_verbose <- orsf(pbc, time + status ~ ., verbose_progress = TRUE, n_tree = n_tree_test,
  importance = "negate", n_thread = 1)
Output
  Growing trees: 100%. 
  Computing predictions: 100%. 
  Computing importance: 100%.

verbosity is carried by object

Code
  pd <- orsf_pd_oob(fit_verbose, pred_spec_auto(island))

Code
  vi <- orsf_vi(fit_verbose_2, importance = "negate")

Code
  vs <- orsf_vs(fit_verbose)
Output
  Selecting variables: 100%

bcjaeger/aorsf documentation built on April 3, 2025, 4:16 p.m.