illustration-input-metric-sample

<p>Illustration of required inputs for sample-based forecasts</p>

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

illustration-input-metric-sample function

<p><div style="text-align: left">
  <img src="figures/metrics-sample.png?package=scoringutils&version=2.1.0" style="width:750px;max-width:100%;">
  </div></p><p>
  Overview of required input format for sample-based forecasts</p>

Input format

Illustration of required inputs for sample-based forecasts — illustration-input-metric-sample

<p><div style="text-align: left">
  <img src='figures/metrics-sample.png' style="width:750px;max-width:100%;" />
  </div><p>
  Overview of required input format for sample-based forecasts</p>

Illustration of required inputs for sample-based forecasts

illustration-input-metric-sample: Illustration of required inputs for sample-based forecasts

Description

Arguments

Input format