A workflow is an object that can bundle together your pre-processing, modeling, and post-processing requests. For example, if you have a
parsnip model, these can be combined into a workflow. The advantages are:
You don’t have to keep track of separate objects in your workspace.
The recipe prepping and model fitting can be executed using a single call to
If you have custom tuning parameter settings, these can be defined using a simpler interface when combined with
In the future, workflows will be able to add post-processing operations, such as modifying the probability cutoff for two-class models.
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