fit_best.workflow_set

<code>fit_best()</code> takes results from tuning many models and fits the workflow
configuration associated with the best performance to the training set.

A workflow is a combination of a model and preprocessors
(e.g, a formula, recipe, etc.) (Kuhn and Silge (2021)
<https://www.tmwr.org/>). In order to try different combinations of
these, an object can be created that contains many workflows. There
are functions to create workflows en masse as well as training them
and visualizing the results.

Simon Couch

workflowsets

Create a Collection of 'tidymodels' Workflows

Max Kuhn

Posit Software, PBC 

fit_best.workflow_set function

<dl><dt>x</dt>
<dd>A <code>workflow_set</code> object that has been evaluated
with <code>workflow_map()</code>. Note that the workflow set must have been fitted with
the control option <code>save_workflow = TRUE</code>.</dd>
<dt>metric</dt>
<dd>A character string giving the metric to rank results by.</dd>
<dt>eval_time</dt>
<dd>A single numeric time point where dynamic event time
metrics should be chosen (e.g., the time-dependent ROC curve, etc). The
values should be consistent with the values used to create <code>x</code>. The <code>NULL</code>
default will automatically use the first evaluation time used by <code>x</code>.</dd>
<dt>...</dt>
<dd>Additional options to pass to
tune::fit_best.</dd></dl>

Arguments

Fit a model to the numerically optimal configuration — fit_best.workflow_set

<dl>

<dt>x</dt>
<dd>A <code>workflow_set</code> object that has been evaluated
with <code>workflow_map()</code>. Note that the workflow set must have been fitted with
the control option <code>save_workflow = TRUE</code>.</dd>


<dt>metric</dt>
<dd>A character string giving the metric to rank results by.</dd>


<dt>eval_time</dt>
<dd>A single numeric time point where dynamic event time
metrics should be chosen (e.g., the time-dependent ROC curve, etc). The
values should be consistent with the values used to create <code>x</code>. The <code>NULL</code>
default will automatically use the first evaluation time used by <code>x</code>.</dd>


<dt>...</dt>
<dd>Additional options to pass to
tune::fit_best.</dd>

</dl>

fit_best.workflow_set: Fit a model to the numerically optimal configuration

Description

Usage

Arguments

Details