parsnip model function — fuzzy_coco_parsnip • Rfuzzycoco

parsnip model function

fuzzy_coco_parsnip(
  mode = "unknown",
  params,
  engine = FUZZY_COCO_HYBRID_ENGINE,
  seed = sample.int(10^5, 1),
  verbose = FALSE
)

Arguments

mode: the type of model, either classification or regression
params: fuzzy coco parameters, as a recursive named list, cf params()
engine: the fuzzy coco fit engine to use, one of rcpp and hybrid
seed: the RNG seed to use (to fit the model)
verbose: whether to be verbose

Value

a parsnip model

Examples

spec <- fuzzy_coco_parsnip("regression",  params = example_mtcars()$params, seed = 123)
fit <- spec |> parsnip::set_engine("hybrid") |> parsnip::fit(qsec ~ ., data = example_mtcars()$data)
#> Loading required namespace: progressr