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: 2025-05-21 DOI: 10.32614/CRAN.package.recipes Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Emil Hvitfeldt [aut], Posit Software, PBC [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: Downloads: Reverse dependencies: Reverse depends: embed, extrasteps, scimo, shinyrecipes, tdarec, textrecipes, themis Reverse imports: actxps, autostats, bestNormalize, caret, correlationfunnel, CSCNet, cvms, D2MCS, easyalluvial, fastml, finnts, healthyR.ai, healthyR.ts, HTRX, ldmppr, LLMAgentR, MachineShop, manydist, MLDataR, MLwrap, modeltime.ensemble, modeltime.resample, mrIML, sae.projection, sparseR, stabiliser, stacks, text, tidymodels, tidysdm, tidyspec, tidytof, timetk, tune, usemodels, viraldomain, viralmodels, viralx, workflows Reverse suggests: additive, agua, applicable, baguette, bases, bayesian, brulee, bundle, butcher, DALEXtra, dann, 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.
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