reexports

tidy

required_pkgs

tunable

tune_args

extract_parameter_set_dials

extract_parameter_dials

%&gt;%

update

These objects are imported from other packages. Follow the links
below to see their documentation.<dl class="dl-horizontal">
 <dt>generics</dt><dd><code><a rd-options="generics" href="/link/required_pkgs?package=recipes&version=0.2.0&to=generics" data-mini-rdoc="generics::required_pkgs">required_pkgs</a></code>, <code><a rd-options="generics" href="/link/tidy?package=recipes&version=0.2.0&to=generics" data-mini-rdoc="generics::tidy">tidy</a></code>, <code><a rd-options="generics" href="/link/tunable?package=recipes&version=0.2.0&to=generics" data-mini-rdoc="generics::tunable">tunable</a></code>, <code><a rd-options="generics" href="/link/tune_args?package=recipes&version=0.2.0&to=generics" data-mini-rdoc="generics::tune_args">tune_args</a></code></dd><dt>hardhat</dt><dd><code><a rd-options="hardhat:hardhat-extract" href="/link/extract_parameter_dials?package=recipes&version=0.2.0&to=hardhat%3Ahardhat-extract" data-mini-rdoc="hardhat:hardhat-extract::extract_parameter_dials">extract_parameter_dials</a></code>, <code><a rd-options="hardhat:hardhat-extract" href="/link/extract_parameter_set_dials?package=recipes&version=0.2.0&to=hardhat%3Ahardhat-extract" data-mini-rdoc="hardhat:hardhat-extract::extract_parameter_set_dials">extract_parameter_set_dials</a></code></dd><dt>magrittr</dt><dd><code><a rd-options="magrittr:pipe" href="/link/%25%26gt%3B%25?package=recipes&version=0.2.0&to=magrittr%3Apipe" data-mini-rdoc="magrittr:pipe::%&gt;%">%&gt;%</a></code></dd><dt>stats</dt><dd><code><a rd-options="stats" href="/link/update?package=recipes&version=0.2.0&to=stats" data-mini-rdoc="stats::update">update</a></code></dd>
</dl>

internal

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.

reexports: Objects exported from other packages

Description

Arguments