Chapter 7 A model workflow

Learning objectives:

• Explain why a model workflow includes preprocessing, fitting, and post-processing.
  • Describe parts of the modeling process that occur before the model is fit.
  • Describe parts of the modeling process that occur after the model is fit.
• Use the {workflows} package to create a simple workflow.
  • Add a model to a workflow.
  • Add a formula to a workflow.
  • Fit a workflow.
  • Use a workflow to predict new data.
  • Update a workflow.
• Use {recipes} with {workflows}.
  • Add a recipe to a workflow.
  • Use workflows::pull_*() to extract objects from fitted workflows.
• Describe how a workflow that uses a formula decides how to pre-process data.
  • Describe how workflows using tree-based models pre-process factor predictors.
  • Add a special formula to a workflow with the formula argument to workflows::add_model().
• Describe workflow steps that are not yet included in {tidymodels}.