Preprocessing and Feature Engineering Steps for Modeling [R package recipes version 1.3.1]

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.

Version: 1.3.1

Depends: dplyr (≥ 1.1.0), R (≥ 4.1)

Imports: cli, clock (≥ 0.6.1), generics (≥ 0.1.2), glue, gower, hardhat (≥ 1.4.1), ipred (≥ 0.9-12), lifecycle (≥ 1.0.3), lubridate (≥ 1.8.0), magrittr, Matrix, purrr (≥ 1.0.0), rlang (≥ 1.1.0), sparsevctrs (≥ 0.3.3), stats, tibble, tidyr (≥ 1.0.0), tidyselect (≥ 1.2.0), timeDate, utils, vctrs (≥ 0.5.0), withr

Suggests: covr, ddalpha, dials (≥ 1.2.0), ggplot2, igraph, kernlab, knitr, methods, modeldata (≥ 0.1.1), parsnip (≥ 1.2.0), RANN, RcppRoll, rmarkdown, rpart, rsample, RSpectra, splines2, testthat (≥ 3.0.0), workflows, xml2

Published: 2025年05月21日

DOI: 10.32614/CRAN.package.recipes

Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC ROR ID [cph, fnd]

Maintainer: Max Kuhn <max at posit.co>

BugReports: https://github.com/tidymodels/recipes/issues

License: MIT + file LICENSE

URL: https://github.com/tidymodels/recipes, https://recipes.tidymodels.org/

NeedsCompilation: no

Materials: NEWS

CRAN checks: recipes results

Documentation:

Reference manual: recipes.html , recipes.pdf

Vignettes: Handling categorical predictors (source, R code)
Ordering of steps (source)
Roles in recipes (source, R code)
Selecting variables (source, R code)
On skipping steps (source, R code)
Introduction to recipes (source, R code)

Downloads:

Package source: recipes_1.3.1.tar.gz

Windows binaries: r-devel: recipes_1.3.1.zip, r-release: recipes_1.3.1.zip, r-oldrel: recipes_1.3.1.zip

macOS binaries: r-release (arm64): recipes_1.3.1.tgz, r-oldrel (arm64): recipes_1.3.1.tgz, r-release (x86_64): recipes_1.3.1.tgz, r-oldrel (x86_64): recipes_1.3.1.tgz

Old sources: recipes archive

Reverse dependencies:

Reverse depends: embed, extrasteps, important, scimo, shinyrecipes, tdarec, textrecipes, themis

Reverse imports: actxps, autostats, bestNormalize, BioMoR, caret, correlationfunnel, CSCNet, cvms, easyalluvial, fastml, finnts, healthyR.ai, healthyR.ts, HTRX, kerasnip, ldmppr, LLMAgentR, MachineShop, manydist, MLDataR, MLwrap, modeltime.ensemble, modeltime.resample, mrIML, sae.projection, sparseR, stabiliser, stacks, text, tidymodels, tidysdm, tidyspec, tidysynthesis, timetk, tune, usemodels, viraldomain, viralmodels, viralx, workflows

Reverse suggests: additive, agua, AMR, applicable, baguette, bases, bayesian, brulee, bundle, butcher, DALEXtra, dann, equatiomatic, finetune, hardhat, modelgrid, modeltime, offsetreg, orbital, palmerpenguins, probably, rsample, rules, shapr, SomaDataIO, swag, tabnet, tfhub, tidyAML, tidybins, tidyclust, tidydann, vetiver, waywiser, workflowsets

Linking:

Please use the canonical form https://CRAN.R-project.org/package=recipes to link to this page.