pr_curve_post_processing

Reshape pr curve data to a format that is easier for plotting.

Perform evaluation of automatic subject
indexing methods. The main focus of the package is to enable efficient
computation of set retrieval and ranked retrieval metrics across multiple
dimensions of a dataset, e.g. document strata or subsets of the label set.
The package also provides the possibility of computing bootstrap confidence
intervals for all major metrics, with seamless integration of parallel
computation and propensity scored variants of standard metrics.

Maximilian Kähler

casimir

Comparing Automated Subject Indexing Methods in R

Markus Schumacher

Deutsche Nationalbibliothek 

pr_curve_post_processing function

<dl><dt>results_summary</dt>
<dd>As produced by <code>summarise_intermediate_results</code>.</dd></dl>

Arguments

Postprocessing of pr curve data — pr_curve_post_processing

<dl>

<dt>results_summary</dt>
<dd>As produced by <code>summarise_intermediate_results</code>.</dd>

</dl>

pr_curve_post_processing: Postprocessing of pr curve data

Description

Usage

Value

Arguments