handle quasi-likelihood glmnet models better

[topepo]

These don't return an object class specific to their model:

library(tidymodels)
#> Registered S3 method overwritten by 'tune':
#>   method                   from   
#>   required_pkgs.model_spec parsnip
data("two_class_dat")

logistic_reg(penalty = 0.1) %>% 
  set_engine("glmnet") %>% 
  fit(Class ~ ., data = two_class_dat) %>% 
  pluck("fit") %>% 
  class()
#> [1] "lognet" "glmnet"

logistic_reg(penalty = 0.1) %>% 
  set_engine("glmnet", family = quasibinomial(link = "logit")) %>% 
  fit(Class ~ ., data = two_class_dat) %>% 
  pluck("fit") %>% 
  class()
#> [1] "glmnetfit" "glmnet"

^{Created on 2021-05-04 by the reprex package (v1.0.0.9000)}

We should add class to the parsnip model or restrict this family for this engine.

[github-actions]

This issue 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.