In parsnip: A Common API to Modeling and Analysis Functions

#| child: aaa.Rmd
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r descr_models("auto_ml", "h2o")

Tuning Parameters

This model has no tuning parameters.

Engine arguments of interest

• max_runtime_secs and max_models: controls the maximum running time and number of models to build in the automatic process.

• exclude_algos and include_algos: a character vector indicating the excluded or included algorithms during model building. To see a full list of supported models, see the details section in [h2o::h2o.automl()].

• validation: An integer between 0 and 1 specifying the proportion of training data reserved as validation set. This is used by h2o for performance assessment and potential early stopping.

Translation from parsnip to the original package (regression)

[agua::h2o_train_auto()] is a wrapper around [h2o::h2o.automl()].

#| label: h2o-reg
auto_ml() |>  
  set_engine("h2o") |> 
  set_mode("regression") |> 
  translate()

Translation from parsnip to the original package (classification)

#| label: h2o-cls
auto_ml() |>  
  set_engine("h2o") |> 
  set_mode("classification") |> 
  translate()

Preprocessing requirements

#| child: template-makes-dummies.Rmd

Initializing h2o

#| child: template-h2o-init.Rmd

Saving fitted model objects

#| child: template-bundle.Rmd

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