yardstick_remove_missing

yardstick_any_missing

<code>yardstick_remove_missing()</code>, and <code>yardstick_any_missing()</code> are useful
alongside the metric-summarizers functions for implementing new custom
metrics. <code>yardstick_remove_missing()</code> removes any observations that contains
missing values across, <code>truth</code>, <code>estimate</code> and <code>case_weights</code>.
<code>yardstick_any_missing()</code> returns <code>FALSE</code> if there is any missing values in
the inputs.

Tidy tools for quantifying how well model fits to a data set
such as confusion matrices, class probability curve summaries, and
regression metrics (e.g., RMSE).

Emil Hvitfeldt

yardstick

Tidy Characterizations of Model Performance

Max Kuhn

Davis Vaughan

Posit Software, PBC 

yardstick_remove_missing function

<dl><dt>truth, estimate</dt>
<dd>Vectors of the same length.</dd>
<dt>case_weights</dt>
<dd>A vector of the same length as <code>truth</code> and <code>estimate</code>, or
<code>NULL</code> if case weights are not being used.</dd></dl>

Arguments

Developer function for handling missing values in new metrics — yardstick_remove_missing

<dl>

<dt>truth, estimate</dt>
<dd>Vectors of the same length.</dd>


<dt>case_weights</dt>
<dd>A vector of the same length as <code>truth</code> and <code>estimate</code>, or
<code>NULL</code> if case weights are not being used.</dd>

</dl>

yardstick_remove_missing: Developer function for handling missing values in new metrics

Description

Usage

Arguments

See Also