build_missing_grid

Internal function that detects missing model x target
combinations by comparing observed data against the complete
grid of all compare-column values crossed with all observed
target combinations.

internal

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

build_missing_grid function

<dl><dt>scores</dt>
<dd>A <code>scores</code> object (data.table with a <code>metrics</code>
attribute as produced by <code>score()</code>).</dd>
<dt>compare</dt>
<dd>Character string (default <code>"model"</code>) naming the
column whose values are compared against each target.</dd></dl>

Arguments

Build grid of missing model-target combinations — build_missing_grid

<dl>

<dt>scores</dt>
<dd>A <code>scores</code> object (data.table with a <code>metrics</code>
attribute as produced by <code>score()</code>).</dd>


<dt>compare</dt>
<dd>Character string (default <code>"model"</code>) naming the
column whose values are compared against each target.</dd>

</dl>

Build grid of missing model-target combinations

build_missing_grid: Build grid of missing model-target combinations

Description

Usage

Value

Arguments