h2o_rulefit_train: Wrapper for training a h2o.rulefit model as part of a parsnip...

In stevenpawley/h2oparsnip: Model Wrappers for H2O models

Wrapper for training a h2o.rulefit model as part of a parsnip 'rule_fit' h2o engine

Description

Wrapper for training a h2o.rulefit model as part of a parsnip 'rule_fit' h2o engine

Usage

h2o_rulefit_train(
  formula,
  data,
  rule_generation_ntrees = 50,
  max_rule_length = 3,
  lambda = 0,
  ...
)

Arguments

formula	formula
data	data.frame of training data
rule_generation_ntrees	integer, the number of trees to build (default = 50)
max_rule_length	integer, the maximum tree depth (default = 3).
lambda	Specify the regularization strength for LASSO regressor.
...	other arguments that are passed to the h2o model

Value

evaluated h2o model call

stevenpawley/h2oparsnip documentation built on June 20, 2022, 12:48 p.m.