tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling

Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the

tidymodels/stacks, Or, In Preparation for Pesto: A Grammar for Stacked Ensemble Modeling

January 21, 2021

Through a community survey conducted over the summer, the RStudio tidymodels team learned that users felt the #1 priority for future development in the tidymodels package ecosystem should be ensembling, a statistical modeling technique involving the synthesis of multiple learning algorithms to improve predictive performance. This December, we were delighted to announce the initial release of stacks, a package for tidymodels-aligned ensembling. A particularly statistically-involved pesto recipe will help us get a sense for how the package works and how it advances the tidymodels package ecosystem as a whole.

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Simon Couch, Grant Fleming, Chelsea Parlett, Richard Vogg, Alan Feder Q&A

Simon Couch, Richard Vogg, and Alan Feder Q&A


About the speaker

Simon Couch
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Simon Couch is an R developer and statistics student at Reed College, where he is entering the final semester of his undergraduate degree. He co-authors and maintains R packages including broom, infer, and stacks, leads trainings and workshops as an RStudio-certified tidyverse trainer, and researches in algorithmic data privacy. He interned on the RStudio tidymodels team in summer 2020, and is currently applying to doctoral programs in statistics.