tests/testthat/_snaps/nearest_neighbor.md

In tidymodels/parsnip: A Common API to Modeling and Analysis Functions

updating

Code
  update(set_engine(nearest_neighbor(neighbors = 5), "kknn", scale = FALSE),
  neighbors = tune(), scale = tune())
Output
  K-Nearest Neighbor Model Specification (unknown mode)

  Main Arguments:
    neighbors = tune()

  Engine-Specific Arguments:
    scale = tune()

  Computational engine: kknn

bad input

Code
  nearest_neighbor(mode = "reallyunknown")
Condition
  Error in `nearest_neighbor()`:
  ! "reallyunknown" is not a known mode for model `nearest_neighbor()`.

check_args() works

Code
  spec <- set_mode(set_engine(nearest_neighbor(neighbors = -1), "kknn"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `neighbors` must be a whole number larger than or equal to 0 or `NULL`, not the number -1.

Code
  spec <- set_mode(set_engine(nearest_neighbor(weight_func = 2), "kknn"),
  "classification")
  fit(spec, class ~ ., hpc)
Condition
  Error in `fit()`:
  ! `weight_func` must be a single string or `NULL`, not the number 2.

tidymodels/parsnip documentation built on June 2, 2025, 8:10 a.m.