recipes: Preprocessing and Feature Engineering Steps for Modeling

A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.

Package details

AuthorMax Kuhn [aut, cre], Hadley Wickham [aut], Posit Software PBC [cph]
MaintainerMax Kuhn <max@posit.co>
LicenseMIT + file LICENSE
Version1.0.4
URL https://github.com/tidymodels/recipes https://recipes.tidymodels.org/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("recipes")

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recipes documentation built on Jan. 11, 2023, 5:14 p.m.