glmnet_helpers: Helper functions for checking the penalty of glmnet models

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

Helper functions for checking the penalty of glmnet models

Description

These functions are for developer use.

.check_glmnet_penalty_fit() checks that the model specification for fitting a glmnet model contains a single value.

.check_glmnet_penalty_predict() checks that the penalty value used for prediction is valid. If called by predict(), it needs to be a single value. Multiple values are allowed for multi_predict().

Usage

.check_glmnet_penalty_fit(x, call = rlang::caller_env())

.check_glmnet_penalty_predict(
  penalty = NULL,
  object,
  multi = FALSE,
  call = rlang::caller_env()
)

Arguments

x	An object of class model_spec.
penalty	A penalty value to check.
object	An object of class model_fit.
multi	A logical indicating if multiple values are allowed.

topepo/parsnip documentation built on Feb. 18, 2025, 2:04 a.m.