get_duplicate_forecasts

Internal helper function to identify duplicate forecasts, i.e.
instances where there is more than one forecast for the same prediction
target.

diagnose-inputs

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_duplicate_forecasts function

<dl><dt>data</dt>
<dd>A data.frame (or similar) with predicted and observed values.
See the details section of for additional information
on the required input format.</dd>
<dt>forecast_unit</dt>
<dd>(optional) Name of the columns in <code>data</code> (after
any renaming of columns) that denote the unit of a
single forecast. See <code>get_forecast_unit()</code> for details.
If <code>NULL</code> (the default), all columns that are not required columns are
assumed to form the unit of a single forecast. If specified, all columns
that are not part of the forecast unit (or required columns) will be removed.</dd>
<dt>counts</dt>
<dd>Should the output show the number of duplicates per forecast
unit instead of the individual duplicated rows? Default is <code>FALSE</code>.</dd></dl>

Arguments

Find duplicate forecasts — get_duplicate_forecasts

<dl>

<dt>data</dt>
<dd>A data.frame (or similar) with predicted and observed values.
See the details section of for additional information
on the required input format.</dd>


<dt>forecast_unit</dt>
<dd>(optional) Name of the columns in <code>data</code> (after
any renaming of columns) that denote the unit of a
single forecast. See <code>get_forecast_unit()</code> for details.
If <code>NULL</code> (the default), all columns that are not required columns are
assumed to form the unit of a single forecast. If specified, all columns
that are not part of the forecast unit (or required columns) will be removed.</dd>


<dt>counts</dt>
<dd>Should the output show the number of duplicates per forecast
unit instead of the individual duplicated rows? Default is <code>FALSE</code>.</dd>

</dl>

Find duplicate forecasts

get_duplicate_forecasts: Find duplicate forecasts

Description

Usage

Value

Arguments

Examples