tests/testthat/_snaps/fitting.md

In tidyclust: A Common API to Clustering

fit() and fit_xy() errors if outcome is provided

Code
  fit_xy(k_means(num_clusters = 5), mtcars, y = mtcars$mpg)
Condition
  Error in `x_x()`:
  ! Outcomes are not used in <cluster_spec> objects.

Code
  fit(workflows::workflow(mpg ~ ., km), mtcars)
Condition
  Error in `x_x()`:
  ! Outcomes are not used in <cluster_spec> objects.

k_means() errors when num_clusters > distinct data points

Code
  fit(set_engine(k_means(num_clusters = 10), "stats"), ~., data = small_data)
Condition
  Error in `fit()`:
  ! `num_clusters` must be at most the number of distinct data points (4).
  i `num_clusters` was set to 10.

fit() errors when mode is unknown

Code
  fit(spec, ~., data = mtcars)
Condition
  Error in `fit()`:
  ! Please set the mode in the model specification.

fit() uses default engine when not set and verbosity > 0

Code
  fit <- fit(k_means(num_clusters = 3, engine = NULL), ~., data = mtcars[1:10, ],
  control = control_cluster(verbosity = 1))
Condition
  Warning:
  Engine set to `stats`.

fit_xy() uses default engine when not set and verbosity > 0

Code
  fit <- fit_xy(k_means(num_clusters = 3, engine = NULL), mtcars[1:10, ],
  control = control_cluster(verbosity = 1))
Condition
  Warning:
  Engine set to `stats`.

fit() errors when called with x and y arguments

Code
  fit(set_engine(k_means(num_clusters = 3), "stats"), ~., data = mtcars, x = mtcars,
  y = mtcars$mpg)
Condition
  Error in `fit()`:
  ! The `fit.cluster_spec()` function is for the formula methods.  Use `fit_xy()` instead.

fit() errors when formula is not a formula

Code
  fit(set_engine(k_means(num_clusters = 3), "stats"), "not a formula", data = mtcars)
Condition
  Error in `inher()`:
  ! `formula` should be a string.

fit_xy() errors when x has no column names

Code
  fit_xy(set_engine(k_means(num_clusters = 3), "stats"), mat)
Condition
  Error in `fit_xy()`:
  ! `x` should have column names.

tidyclust documentation built on June 20, 2026, 9:08 a.m.