In parsnip: A Common API to Modeling and Analysis Functions

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r descr_models("multinom_reg", "h2o")

Tuning Parameters

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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:

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param$item

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Translation from parsnip to the original package

[agua::h2o_train_glm()] for multinom_reg() is a wrapper around [h2o::h2o.glm()] with family = 'multinomial'.

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multinom_reg(penalty = double(1), mixture = double(1)) |> 
  set_engine("h2o") |> 
  translate()

Preprocessing requirements

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By default, [h2o::h2o.glm()] uses the argument standardize = TRUE to center and scale the data.

Initializing h2o

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parsnip documentation built on June 8, 2025, 12:10 p.m.