The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.1.0 |
Depends: | dplyr (≥ 1.1.0), R (≥ 3.6) |
Imports: | cli, clock (≥ 0.6.1), generics (≥ 0.1.2), glue, gower, hardhat (≥ 1.4.0), ipred (≥ 0.9-12), lifecycle (≥ 1.0.3), lubridate (≥ 1.8.0), magrittr, Matrix, purrr (≥ 1.0.0), rlang (≥ 1.1.0), 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, modeldata (≥ 0.1.1), parsnip (≥ 1.2.0), RANN, RcppRoll, rmarkdown, rpart, rsample, RSpectra, splines2, testthat (≥ 3.0.0), workflows, xml2 |
Published: | 2024-07-04 |
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 |
Reference manual: | recipes.pdf |
Vignettes: |
Handling categorical predictors Ordering of steps Roles in recipes Selecting variables On skipping steps Introduction to recipes |
Package source: | recipes_1.1.0.tar.gz |
Windows binaries: | r-devel: recipes_1.1.0.zip, r-release: recipes_1.1.0.zip, r-oldrel: recipes_1.1.0.zip |
macOS binaries: | r-release (arm64): recipes_1.1.0.tgz, r-oldrel (arm64): recipes_1.0.10.tgz, r-release (x86_64): recipes_1.1.0.tgz, r-oldrel (x86_64): recipes_1.0.10.tgz |
Old sources: | recipes archive |
Reverse depends: | embed, scimo, shinyrecipes, textrecipes, themis |
Reverse imports: | actxps, autostats, bestNormalize, card, caret, correlationfunnel, CSCNet, cvms, D2MCS, easyalluvial, finnts, healthyR.ai, healthyR.ts, HTRX, MachineShop, MLDataR, modeltime.ensemble, modeltime.resample, nestedmodels, sparseR, stabiliser, stacks, text, tidymodels, tidysdm, timetk, tune, usemodels, viraldomain, viralmodels, viralx |
Reverse suggests: | additive, agua, applicable, baguette, bayesian, brulee, bundle, butcher, DALEXtra, dann, finetune, hardhat, modelgrid, modeltime, offsetreg, orbital, palmerpenguins, probably, rsample, rules, SomaDataIO, swag, tabnet, tfhub, tidyAML, tidybins, tidyclust, tidydann, vetiver, waywiser, workflows, workflowsets |
Please use the canonical form https://CRAN.R-project.org/package=recipes to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.