Tidymodels
Releases of tidymodels packages in Q2 of 2021 include more streamlined memory footprints for feature-engineering recipes, new model engine options, and better support for post-processing predictions.
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2021/07/02
The tidymodels ecosystem is modular and flexible, which can sometimes make choosing an approach overwhelming for newcomers. This post offers opinionated guidance on where to start!
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2021/05/24
The new version of recipes contains several helpful improvements.
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2021/04/23
A new package for evaluating many models at once is now on CRAN, along with a corresponding update to the tidyposterior package.
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2021/03/30
Releases of tidymodels packages in Q1 of 2021 offer new functions for easier model building and resampling, along with a new package for resampling spatial data.
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2021/03/10
A new version of corrr features noteworthy improvements.
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2020/12/09
finetune is a new package that adds a few more model tuning methods.
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2020/12/02
Introducing ensemble learning to the tidymodels.
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2020/11/30
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