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Activity Number: 344 - Student Paper Award and John M. Chambers Statistical Software Award
Type: Topic-Contributed
Date/Time: Thursday, August 12, 2021 : 10:00 AM to 11:50 AM
Sponsor: Section on Statistical Computing
Abstract #317102
Title: {Stacks}: A Grammar for Stacked Ensemble Modeling
Author(s): Simon Couch*
Companies: Reed College, RStudio
Keywords: model stacking; ensemble modeling; tidyverse; tidymodels; R; software
Abstract:

Model stacking is an ensemble modeling technique that involves training a model to combine the outputs of many constituent statistical models. {stacks} is a free and open-source R software package for stacked ensemble modeling that aligns with tidy data principles. The package’s functionality is closely aligned with the {tidymodels}, a collection of packages providing a unified and principled interface to diverse statistical modeling techniques. Beyond simply providing a mathematically robust interface to build stacked ensemble models, {stacks} adheres to a consistent grammar to interface with two object classes that promote an intuitive understanding of the underlying implementation. {stacks} was awarded the 2021 John M. Chambers Statistical Software Award.


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