Parsnip
Julia Silge
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. Read more ...
2021/07/02
Julia Silge
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! Read more ...
2021/05/24
Julia Silge
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. Read more ...
2021/03/10
Julia Silge
Sparse data is common in many domains, and now tidymodels supports using sparse matrix structures throughout the fitting and tuning stages of modeling. Read more ...
2020/11/25
Max Kuhn
The new usemodels R package is a helpful way to automatically generate tidymodels code. Read more ...
2020/09/29
Max Kuhn
A new version of parsnip bring improvements in how predictors are handled and a few other neat features. Read more ...
2020/07/09
Max Kuhn
Three new tidymodels packages, baguette, poissonreg, and plsmod, were just released on CRAN. Read more ...
2020/04/15
Max Kuhn, Edgar Ruiz, and Davis Vaughan
The latest updates to the tidymodels packages Read more ...
2019/09/05
Max Kuhn, Davis Vaughan, Alex Hayes
A look inside of the parsnip package Read more ...
2019/04/30
Max Kuhn
A tidy unified interface to models Read more ...
2018/11/28