remove_original_cols

This helper function should be used whenever the argument
<code>keep_original_cols</code> is used in a function.

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

Emil Hvitfeldt

Posit Software, PBC 

remove_original_cols function

<dl><dt>new_data</dt>
<dd>A tibble.</dd>
<dt>object</dt>
<dd>A step object.</dd>
<dt>col_names</dt>
<dd>A character vector, denoting columns to remove.</dd></dl>

Arguments

Removes original columns if options apply — remove_original_cols

<dl>

<dt>new_data</dt>
<dd>A tibble.</dd>


<dt>object</dt>
<dd>A step object.</dd>


<dt>col_names</dt>
<dd>A character vector, denoting columns to remove.</dd>

</dl>

remove_original_cols: Removes original columns if options apply

Description

Usage

Value

Arguments

See Also