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