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Hi Mike,
this is a really great post! it is helping me enormously to migrate my mlr applications to tidymodels. I agree with you that it is a fantastic framework, but the learning curve is steep.
I especially liked how you solved the tuning with workflowsets. My first attempt was creating a model specification, added it to a workflow and a recipe with tune_grid for each of the models. Then I use a function called “finalizer()” from https://www.hfshr.xyz/posts/2020-11-30-model-stacking/ that selects the best model, updates the workflow, tweaks the final model with the best parameters and extracts the metrics.
Converting New York’s Forest Carbon Assessment to Tidymodels – Mike Mahoney
Lessons, pain points, and benefits from a bottom-up rewrite of a production modeling pipeline
https://www.mm218.dev/posts/2024-07-19-tidymodels/
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