Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
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curl https://depscope.dev/api/check/conda/r-stacksFirst published · 2020-11-30 16:49:32.835000+00:00
Last updated · 2025-10-04 23:39:49.039000+00:00