Tune
While we’ve written about survival analysis and machine learning fairness already, the newest tune release includes a number of other major changes.
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2024/04/18
Recent releases integrate survival analysis into tidymodels. This now unlocks the framework for censored regression and provides modeling capabilities for time-to-event data.
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2024/04/03
Recent tidymodels releases integrated a set of tools for assessing whether machine learning models treat groups of people differently.
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2024/03/21
The tidymodels team’s biannual spring cleaning gave us a chance to revisit the way we raise some error messages.
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2023/11/10
The latest releases of rsample and tune provide a new interface to validation sets as a three-way split.
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2023/08/25
New releases of the tune, finetune, and workflowsets packages have made optimizing model parameters with tidymodels even more pleasant.
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2023/04/20
We highlight a series of new tidymodels package versions and their improvements.
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2021/07/27
finetune is a new package that adds a few more model tuning methods.
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2020/12/02
With version 0.1.2 of tune, there are more options for parallel processing.
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2020/11/27
Sparse data is common in many domains, and now tidymodels supports using sparse matrix structures throughout the fitting and tuning stages of modeling.
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2020/11/25