validate_metrics

This function validates whether the list of metrics is a list
of valid functions.
The function is used in <code>score()</code> to make sure that all metrics are valid
functions.

internal_input_check

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

validate_metrics function

<dl><dt>metrics</dt>
<dd>A named list with metrics. Every element should be a scoring
function to be applied to the data.</dd></dl>

Arguments

Validate metrics — validate_metrics

<dl>

<dt>metrics</dt>
<dd>A named list with metrics. Every element should be a scoring
function to be applied to the data.</dd>

</dl>

Validate metrics

validate_metrics: Validate metrics

Description

Usage

Value

Arguments