tests/testthat/_snaps/partykit.md

In curso-r/treesnip: Tree-Based Model Engines for 'parsnip'

condition inference trees

Code
  decision_tree() %>% set_engine("partykit") %>% set_mode("regression")
Output
  Decision Tree Model Specification (regression)

  Computational engine: partykit

Code
  decision_tree() %>% set_engine("partykit", teststat = "maximum") %>% set_mode(
    "classification")
Output
  Decision Tree Model Specification (classification)

  Engine-Specific Arguments:
    teststat = maximum

  Computational engine: partykit

condition inference forests

Code
  rand_forest() %>% set_engine("partykit") %>% set_mode("regression")
Output
  Random Forest Model Specification (regression)

  Computational engine: partykit

Code
  rand_forest() %>% set_engine("partykit", teststat = "maximum") %>% set_mode(
    "classification")
Output
  Random Forest Model Specification (classification)

  Engine-Specific Arguments:
    teststat = maximum

  Computational engine: partykit

curso-r/treesnip documentation built on May 7, 2022, 1:10 a.m.