multi_predict.glmnet: Safe predictions for cross-validated glmnet objects
In alexpghayes/safepredict: Consistent prediction following tidymodels principles

Safe predictions for cross-validated glmnet objects

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## S3 method for class 'glmnet'
multi_predict(object, new_data, type = c("response",
  "class", "prob"), ..., params = NULL)

`object`	TODO
`new_data`	TODO
`type`	TODO
`...`	Unused. `safe_predict()` checks that all arguments in `...` are evaluated via the `ellipsis` package. The idea is to prevent silent errors when arguments are mispelled. This feature is experimental and feedback is welcome.
`params`	works with a single value for the penalty. otherwise CV is gonna be inconsistent a wild pain in the rear. works with a vector of values for the penalty in the future will work with a tibble defining a parameter grid