glmnet_helpers: Helper functions for checking the penalty of glmnet models
In parsnip: A Common API to Modeling and Analysis Functions

.check_glmnet_penalty_fit

R Documentation

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)

.check_glmnet_penalty_predict(penalty = NULL, object, multi = FALSE)

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.