step

check

<code>step</code> sets the class of the <code>step</code> and <code>check</code> is for checks.

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.

Max Kuhn

recipes

Preprocessing and Feature Engineering Steps for Modeling

Hadley Wickham

RStudio 

step function

<dl><dt>subclass</dt>
<dd>A character string for the resulting class. For example,
if <code>subclass = "blah"</code> the step object that is returned has class
<code>step_blah</code> or <code>check_blah</code> depending on the context.</dd>
<dt>...</dt>
<dd>All arguments to the operator that should be returned.</dd>
<dt>.prefix</dt>
<dd>Prefix to the subclass created.</dd></dl>

Arguments

step sets the class of the step and check is for checks. — step

<dl>

<dt>subclass</dt>
<dd>A character string for the resulting class. For example,
if <code>subclass = "blah"</code> the step object that is returned has class
<code>step_blah</code> or <code>check_blah</code> depending on the context.</dd>


<dt>...</dt>
<dd>All arguments to the operator that should be returned.</dd>


<dt>.prefix</dt>
<dd>Prefix to the subclass created.</dd>

</dl>

step: `step` sets the class of the `step` and `check` is for checks.

Description

Usage

Value

Arguments