creates a model for the Fuzzy Coco algorithm
fuzzycoco(
mode = c("classification", "regression"),
params,
seed = sample.int(10^5, 1),
verbose = FALSE
)
the type of model, either classification or regression
fuzzy coco parameters, as a recursive named list, cf params()
the RNG seed to use (to fit the model)
whether to be verbose
a fuzzycoco_model object (named list)
model <- fuzzycoco("regression", params(nb_rules = 1, nb_max_var_per_rule = 3), seed = 123)