ensure_sample_matrix

Converts a vector of predictive samples (allowed as input when there is
only a single observation) into a 1xN matrix so that downstream
row-wise operations work as expected. Matrix input is returned unchanged.

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

ensure_sample_matrix function

<dl><dt>predicted</dt>
<dd>A vector of size N (predictive samples for a single
observation) or an nxN matrix of predictive samples.</dd></dl>

Arguments

Ensure that predicted samples are a matrix — ensure_sample_matrix

<dl>

<dt>predicted</dt>
<dd>A vector of size N (predictive samples for a single
observation) or an nxN matrix of predictive samples.</dd>

</dl>

Ensure that predicted samples are a matrix

ensure_sample_matrix: Ensure that predicted samples are a matrix

Description

Usage

Value

Arguments