evaluate: Cross-validated evaluation.

In funcml: Functional Machine Learning Framework

Cross-validated evaluation.

Description

Cross-validated evaluation.

Usage

evaluate(
  data,
  formula,
  model = NULL,
  spec = NULL,
  resampling = cv(5),
  metrics = NULL,
  type = NULL,
  conf_level = 0.95,
  seed = NULL,
  fit = NULL,
  ncores = NULL,
  ...
)

Arguments

data	Data frame.
formula	Model formula.
model	Learner id (ignored if fit supplied).
spec	Hyperparameter list.
resampling	Resampling object from cv().
metrics	Character vector of metric names.
type	Prediction type override.
conf_level	Confidence level for fold-based summary intervals.
seed	Optional seed.
fit	Optional preconfigured funcml_fit object (re-fit per fold).
ncores	Optional number of CPU cores used to evaluate resampling folds. NULL or 1 runs sequentially.
...	Passed to fit().

Value

A funcml_eval object.

Examples

eval_obj <- evaluate(
  data = mtcars,
  formula = mpg ~ wt + hp,
  model = "glm",
  resampling = cv(3, seed = 1),
  metrics = c("rmse", "mae")
)
eval_obj$summary

funcml documentation built on Aug. 22, 2026, 5:08 p.m.