workflows 0.1.2

When using a formula preprocessor with add_formula(), workflows now uses model-specific information from parsnip to decide whether to expand factors via dummy encoding (n - 1 levels), one-hot encoding (n levels), or no expansion at all. This should result in more intuitive behavior when working with models that don’t require dummy variables. For example, if a parsnip rand_forest() model is used with a ranger engine, dummy variables will not be created, because ranger can handle factors directly (#51, #53).

workflows 0.1.1

hardhat’s minimum required version has been bumped to 0.1.2, as it contains an important fix to how recipes are prepped by default.