r descr_models("logistic_reg", "h2o")
defaults <- tibble::tibble(parsnip = c("penalty", "mixture"), default = c("see below", "see below")) param <- logistic_reg() %>% set_engine("h2o") %>% make_parameter_list(defaults)
This model has r nrow(param)
tuning parameters:
param$item
[agua::h2o_train_glm()] for logistic_reg()
is a wrapper around [h2o::h2o.glm()]. h2o will automatically picks the link function and distribution family or binomial responses.
logistic_reg() %>% set_engine("h2o") %>% translate()
To use a non-default argument in [h2o::h2o.glm()], pass in as an engine argument to set_engine()
:
logistic_reg() %>% set_engine("h2o", compute_p_values = TRUE) %>% translate()
By default, [h2o::h2o.glm()] uses the argument standardize = TRUE
to center and scale all numeric columns.
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