Tidymodels
The tidymodels team has been hard at work on postprocessing, a set of features to adjust model predictions. The functionality includes a new package as well as changes across the framework.
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2024/10/08
recipes 1.1.0 is on CRAN! recipes now have better input checking and quality of life errors.
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2024/07/08
A new release of the parsnip extension package bonsai introduces support for oblique random forests for classification and regression to tidymodels.
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2024/06/25
The tidymodels team has been busy working on all sorts of new features across the framework.
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2024/04/24
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
We are conducting our third tidymodels priorities survey. Please give us your feedback!
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2024/02/28
The tidymodels team has been busy working on all sorts of new features across the ecosystem.
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2024/01/09
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