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: 0.1.17
Depends: dplyr, R (≥ 3.1)
Imports: ellipsis, generics (≥ 0.1.0), glue, gower, ipred (≥ 0.9-12), lifecycle, lubridate, magrittr, Matrix, purrr (≥ 0.2.3), rlang (≥ 0.4.0), stats, tibble, tidyr (≥ 1.0.0), tidyselect (≥ 1.1.0), timeDate, utils, vctrs, withr
Suggests: covr, ddalpha, dimRed (≥ 0.2.2), fastICA, ggplot2, igraph, kernlab, knitr, modeldata, parsnip (≥ 0.1.7), RANN, RcppRoll, rmarkdown, rpart, rsample, RSpectra, testthat (≥ 3.0.0), workflows, xml2
Published: 2021-09-27
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], RStudio [cph]
Maintainer: Max Kuhn <max at rstudio.com>
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

Downloads:

Reference manual: recipes.pdf
Vignettes: Dummy Variables and Interactions
Ordering of Steps
Roles in Recipes
Selecting Variables
Basic Recipes
On Skipping Steps
Package source: recipes_0.1.17.tar.gz
Windows binaries: r-devel: recipes_0.1.16.zip, r-release: recipes_0.1.16.zip, r-oldrel: recipes_0.1.16.zip
macOS binaries: r-release (arm64): recipes_0.1.16.tgz, r-release (x86_64): recipes_0.1.16.tgz, r-oldrel: recipes_0.1.16.tgz
Old sources: recipes archive

Reverse dependencies:

Reverse depends: embed, shinyrecipes, textrecipes, themis
Reverse imports: bestNormalize, card, caret, correlationfunnel, customsteps, cvms, D2MCS, easyalluvial, healthcareai, healthyR.ai, healthyR.ts, MachineShop, modeltime.ensemble, modeltime.resample, stacks, text, tidymodels, timetk, tune, usemodels
Reverse suggests: additive, applicable, baguette, bayesian, butcher, DALEXtra, finetune, hardhat, modelgrid, modeltime, nmm, palmerpenguins, rsample, rules, sknifedatar, swag, tabnet, tfhub, workflows, workflowsets

Linking:

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