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DESCRIPTION
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Package: recipes
Title: Preprocessing and Feature Engineering Steps for Modeling
Version: 1.1.0.9001
Authors@R: c(
person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre")),
person("Hadley", "Wickham", , "[email protected]", role = "aut"),
person("Emil", "Hvitfeldt", , "[email protected]", role = "aut"),
person(given = "Posit Software, PBC", role = c("cph", "fnd"))
)
Description: 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.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/recipes,
https://recipes.tidymodels.org/
BugReports: https://github.com/tidymodels/recipes/issues
Depends:
dplyr (>= 1.1.0),
R (>= 3.6)
Imports:
cli,
clock (>= 0.6.1),
generics (>= 0.1.2),
glue,
gower,
hardhat (>= 1.4.0.9000),
ipred (>= 0.9-12),
lifecycle (>= 1.0.3),
lubridate (>= 1.8.0),
magrittr,
Matrix,
purrr (>= 1.0.0),
rlang (>= 1.1.0),
sparsevctrs (>= 0.1.0.9002),
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
Remotes:
r-lib/sparsevctrs,
tidymodels/hardhat
VignetteBuilder:
knitr
RdMacros:
lifecycle
Config/Needs/website: tidyverse/tidytemplate
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2