# Buildsheet autogenerated by ravenadm tool -- Do not edit.

NAMEBASE=		R-recipes
VERSION=		1.3.1
KEYWORDS=		cran
VARIANTS=		std
SDESC[std]=		Preprocessing Tools to Create Design Matrices
HOMEPAGE=		https://github.com/tidymodels/recipes
CONTACT=		CRAN_Automaton[cran@ironwolf.systems]

DOWNLOAD_GROUPS=	main
SITES[main]=		CRAN/src/contrib
			https://loki.dragonflybsd.org/cranfiles/
DISTFILE[1]=		recipes_1.3.1.tar.gz:main
DIST_SUBDIR=		CRAN
DF_INDEX=		1
SPKGS[std]=		single

OPTIONS_AVAILABLE=	none
OPTIONS_STANDARD=	none

BUILDRUN_DEPENDS=	R-dplyr:single:std
			R-cli:single:std
			R-clock:single:std
			R-generics:single:std
			R-glue:single:std
			R-gower:single:std
			R-hardhat:single:std
			R-ipred:single:std
			R-lifecycle:single:std
			R-lubridate:single:std
			R-magrittr:single:std
			R-purrr:single:std
			R-rlang:single:std
			R-sparsevctrs:single:std
			R-tibble:single:std
			R-tidyr:single:std
			R-tidyselect:single:std
			R-timeDate:single:std
			R-vctrs:single:std
			R-withr:single:std

USES=			cran gmake

DISTNAME=		recipes

GENERATED=		yes

INSTALL_REQ_TOOLCHAIN=	yes

[FILE:466:descriptions/desc.single]
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.


[FILE:104:distinfo]
ceba6fb1ffcde9e7952792c2ca148711761bf4c8017a18f71915d606bd99dcc4       889576 CRAN/recipes_1.3.1.tar.gz