glmnet multi_predict(): Check type for all modes

[hfrick]

Since multi_predict() calls predict() with type = "raw", the type provided to multi_predict() did not get checked consistently.

This PR improves checks on the type by extending it to all modes, not just "classification". Closes #517

library(parsnip)
data(Chicago, package = "modeldata")

lm_spec <- linear_reg(penalty = 0.1) %>% set_engine("glmnet")
lm_fit <- fit(lm_spec, ridership ~ Clark_Lake + Quincy_Wells, data = Chicago)

multi_predict(lm_fit, Chicago[1:6,], penalty = c(0.05, 0.1), type = "class")
#> Error in `check_pred_type()` at parsnip/R/glmnet-engines.R:176:2:
#> ! For class predictions, the object should be a classification model.

^{Created on 2023-03-02 with reprex v2.0.2}

[simonpcouch]

Looks great! This is definitely an improvement.

[github-actions]

This pull request has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.