ndcg_score

Helper function for document-wise computation of ranked retrieval scores
DCG, NDCG and LRAP.
Implemented as in Annif
<a href="https://github.com/NatLibFi/Annif/blob/master/annif/eval.py">https://github.com/NatLibFi/Annif/blob/master/annif/eval.py</a>.
Reference implementation for NDCG to test against.

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 

ndcg_score function

<dl><dt>gold_vs_pred</dt>
<dd>A data.frame as generated by <code>create_comparison</code>.</dd>
<dt>limit</dt>
<dd>An integer cutoff value for NDCG@N.</dd></dl>

Arguments

Helper function for document-wise computation of ranked retrieval scores
DCG, NDCG and LRAP.
Implemented as in Annif
<a href='https://github.com/NatLibFi/Annif/blob/master/annif/eval.py'>https://github.com/NatLibFi/Annif/blob/master/annif/eval.py</a>.
Reference implementation for NDCG to test against.

Helper function for document-wise computation of ranked retrieval scores — ndcg_score

<dl>

<dt>gold_vs_pred</dt>
<dd>A data.frame as generated by <code>create_comparison</code>.</dd>


<dt>limit</dt>
<dd>An integer cutoff value for NDCG@N.</dd>

</dl>

ndcg_score: Helper function for document-wise computation of ranked retrieval scores

Description

Usage

Value

Arguments