r-tidymodels-modeling

Coaches the complete R tidymodels modeling cycle — honest data partitioning with rsample, two-pass recipe execution with prep and bake, engine-neutral model specs with parsnip, workflow bundling, hyperparameter search with tune, performance measurement with yardstick, parallel candidate racing with workflowsets, and stacked ensembling with stacks. Use when the user wants to build, tune, or debug a tidymodels pipeline, author or repair a recipe, arrange resampling or validation, tune hyperparameters, compare several workflows, or blend candidates into a stack, or names packages such as rsample, recipes, parsnip, workflows, tune, yardstick, workflowsets, or stacks. Not for base R modeling with lm or glm, caret, mlr3, or Python scikit-learn pipelines.

Version

v1.0.0

Size

17 KB

Updated

2026-10-10

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