h2o_glm_train: Wrapper for training a h2o.glm model as part of a parsnip

In stevenpawley/h2oparsnip: Model Wrappers for H2O models

Wrapper for training a h2o.glm model as part of a parsnip

Description

Wrapper for training a h2o.glm model as part of a parsnip

Usage

h2o_glm_train(formula, data, alpha = NULL, lambda = NULL, family = NULL, ...)

Arguments

formula	formula
data	data.frame of training data
alpha	numeric, Distribution of regularization between the L1 (Lasso) and L2 (Ridge) penalties. A value of 1 for alpha represents Lasso regression, a value of 0 produces Ridge regression.
lambda	numeric, regularization strength
family	character, one of c("gaussian", "binomial", "quasibinomial", "ordinal", "multinomial", "poisson", "gamma", "tweedie", "negativebinomial")
...	other arguments passed to the h2o engine.

Value

evaluated h2o model call

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