I want to evaluate the performance of several (mostly) linear regression models on the same dataset. I thought maybe using tidymodels packages along with the workflowsets::workflow_set() might work...

I try to use tidymodels to tune the workflow with recipe and model parameters. When tuning a single workflow there is no problem. But when tuning a workflowsets with several workflows it always fai...

After designing a Tidymodels recipe-based workflow, which is tuned then fitted to some training data, I'm not clear what objects (fitted "workflow", "recipe", ..etc) should be s...

I always finish up my model to fit and predict without using prep(), bake(), or juice(): rec_wflow <- workflow() %>% add_model(lr_mod) %>% add_recipe(rec) data_fit <- rec_wflow...

I've put together a data preprocessing recipe for the recent coffee dataset featured on TidyTuesday. My intention is to generate a workflow, and then from there tune a hyperparameter. I'm specifica...

I read the introduction to tidymodels and I am confused about what prep(), bake() and juice() from the recipes package do to the data. What each does? I honestly found confusing to have such names ...