Open larry77 opened 6 months ago
I would like to add that this happens also with the (much simpler)
use_glmnet(body_mass_g ~ ., data = penguins)
Unlike what shown in the example here
Any reaction on this? It actually affects every model in the package.
Please look at the reprex at the end of this issue. You can download the input data from
https://e.pcloud.link/publink/show?code=XZWXInZ683FG2Squ0bLeLRNaGnzxukG1Le7
(nothing dangerous).
I try to set up tidymodels + glmnet to predict a continuous, numerical variable ("close"), so why does usemodels give me a boilerplate for a classification model?
Created on 2024-03-06 with reprex v2.1.0