.check_glmnet_penalty_fit {parsnip} | 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, call = rlang::caller_env())
.check_glmnet_penalty_predict(
penalty = NULL,
object,
multi = FALSE,
call = rlang::caller_env()
)
Arguments
x |
An object of class |
penalty |
A penalty value to check. |
object |
An object of class |
multi |
A logical indicating if multiple values are allowed. |
[Package parsnip version 1.3.2 Index]