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Convert statistical analysis objects from R into tidy format
R 1.5k 305
Easily install and load the tidymodels packages
R 791 70
An R package for tidyverse-friendly statistical inference
R 753 79
A tidy unified interface to models
R 625 92
Code and content for "Tidy Modeling with R"
RMarkdown 615 302
Pipeable steps for feature engineering and data preprocessing to prepare for modeling
R 595 116
Classes and functions to create and summarize resampling objects
Tools for tidy parameter tuning
Integration and other testing for tidymodels
parsnip wrappers for tree-based models
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
Tools for Measuring Predictor Importance
Iterative Steps for Postprocessing Model Predictions
Turn Tidymodels Workflows Into Series of Equations
Tidy methods for measuring model performance