r descr_models("multinom_reg", "h2o")
defaults <- tibble::tibble(parsnip = c("penalty", "mixture"), default = c("see below", "see below")) param <- multinom_reg() %>% set_engine("h2o") %>% make_parameter_list(defaults)
This model has r nrow(param)
tuning parameters:
param$item
[agua::h2o_train_glm()] for multinom_reg()
is a wrapper around [h2o::h2o.glm()] with family = 'multinomial'
.
multinom_reg(penalty = double(1), mixture = double(1)) %>% set_engine("h2o") %>% translate()
By default, [h2o::h2o.glm()] uses the argument standardize = TRUE
to center and scale the data.
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