Helper functions for checking the penalty of glmnet models — .check_glmnet_penalty

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.