show_best.tune_race

<code>show_best()</code> displays the top sub-models and their performance estimates.

The ability to tune models is important. 'finetune' enhances
the 'tune' package by providing more specialized methods for finding
reasonable values of model tuning parameters. Two racing methods
described by Kuhn (2014) <arXiv:1405.6974> are included. An iterative
search method using generalized simulated annealing (Bohachevsky,
Johnson and Stein, 1986) <doi:10.1080/00401706.1986.10488128> is also
included.

Max Kuhn

finetune

Additional Functions for Model Tuning

RStudio 

show_best.tune_race function

<dl><dt>x</dt>
<dd>The results of <code><a href="https://tune.tidymodels.org/reference/tune_grid.html">tune_grid()</a></code> or <code><a href="https://tune.tidymodels.org/reference/tune_bayes.html">tune_bayes()</a></code>.</dd>
<dt>metric</dt>
<dd>A character value for the metric that will be used to sort
the models. (See
<a href="https://yardstick.tidymodels.org/articles/metric-types.html">https://yardstick.tidymodels.org/articles/metric-types.html</a> for
more details). Not required if a single metric exists in <code>x</code>. If there are
multiple metric and none are given, the first in the metric set is used (and
a warning is issued).</dd>
<dt>n</dt>
<dd>An integer for the maximum number of top results/rows to return.</dd>
<dt>...</dt>
<dd>For <code><a href="https://tune.tidymodels.org/reference/show_best.html">select_by_one_std_err()</a></code> and <code><a href="https://tune.tidymodels.org/reference/show_best.html">select_by_pct_loss()</a></code>, this
argument is passed directly to <code><a href="https://dplyr.tidyverse.org/reference/arrange.html">dplyr::arrange()</a></code> so that the user can sort
the models from most simple to most complex. See the examples below. At
least one term is required for these two functions.</dd></dl>

Arguments

Investigate best tuning parameters — show_best.tune_race

<dl>

<dt>x</dt>
<dd>The results of <code><a href='https://tune.tidymodels.org/reference/tune_grid.html'>tune_grid()</a></code> or <code><a href='https://tune.tidymodels.org/reference/tune_bayes.html'>tune_bayes()</a></code>.</dd>


<dt>metric</dt>
<dd>A character value for the metric that will be used to sort
the models. (See
<a href='https://yardstick.tidymodels.org/articles/metric-types.html'>https://yardstick.tidymodels.org/articles/metric-types.html</a> for
more details). Not required if a single metric exists in <code>x</code>. If there are
multiple metric and none are given, the first in the metric set is used (and
a warning is issued).</dd>


<dt>n</dt>
<dd>An integer for the maximum number of top results/rows to return.</dd>


<dt>...</dt>
<dd>For <code><a href='https://tune.tidymodels.org/reference/show_best.html'>select_by_one_std_err()</a></code> and <code><a href='https://tune.tidymodels.org/reference/show_best.html'>select_by_pct_loss()</a></code>, this
argument is passed directly to <code><a href='https://dplyr.tidyverse.org/reference/arrange.html'>dplyr::arrange()</a></code> so that the user can sort
the models from most simple to most complex. See the examples below. At
least one term is required for these two functions.</dd>

</dl>

show_best.tune_race: Investigate best tuning parameters

Description

Usage

Arguments

Details