get_metrics

Generic function to to obtain default metrics available for scoring or metrics
that were used for scoring.<ul>
<li>If called on a <code>forecast</code> object it returns a list of functions that can be
used for scoring.</li>
<li>If called on a <code>scores</code> object (see <code>score()</code>), it returns a character vector
with the names of the metrics that were used for scoring.</li>
</ul>See the documentation for the actual methods in the <code>See Also</code> section below
for more details. Alternatively call <code>?get_metrics.&lt;forecast_type&gt;</code> or
<code>?get_metrics.scores</code>.

handle-metrics

Facilitate the evaluation of forecasts in a convenient
framework based on data.table. It allows user to to check their forecasts
and diagnose issues, to visualise forecasts and missing data, to transform
data before scoring, to handle missing forecasts, to aggregate scores, and
to visualise the results of the evaluation. The package mostly focuses on
the evaluation of probabilistic forecasts and allows evaluating several
different forecast types and input formats. Find more information about the
package in the Vignettes as well as in the accompanying paper,
<doi:10.48550/arXiv.2205.07090>.

Nikos Bosse

scoringutils

Utilities for Scoring and Assessing Predictions

Sam Abbott

Hugo Gruson

Johannes Bracher

Toshiaki Asakura 

James Mba Azam

Sebastian Funk

Michael Chirico

get_metrics function

<dl><dt>x</dt>
<dd>A <code>forecast</code> or <code>scores</code> object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to the method.</dd></dl>

Arguments

Generic function to to obtain default metrics available for scoring or metrics
that were used for scoring.<ul>
<li>If called on a <code>forecast</code> object it returns a list of functions that can be
used for scoring.</li>
<li>If called on a <code>scores</code> object (see <code>score()</code>), it returns a character vector
with the names of the metrics that were used for scoring.</li>
</ul>

See the documentation for the actual methods in the <code>See Also</code> section below
for more details. Alternatively call <code>?get_metrics.&lt;forecast_type&gt;</code> or
<code>?get_metrics.scores</code>.

Get metrics — get_metrics

<dl>

<dt>x</dt>
<dd>A <code>forecast</code> or <code>scores</code> object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to the method.</dd>

</dl>

get_metrics: Get metrics

Description

Usage

Arguments

See Also