In topepo/parsnip: A Common API to Modeling and Analysis Functions

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()].

auto_ml() %>%  
  set_engine("h2o") %>% 
  set_mode("regression") %>% 
  translate()

Translation from parsnip to the original package (classification)

auto_ml() %>%  
  set_engine("h2o") %>% 
  set_mode("classification") %>% 
  translate()

Preprocessing requirements

Initializing h2o

Saving fitted model objects

topepo/parsnip documentation built on April 16, 2024, 3:23 a.m.