Closed AIIRLab closed 1 year ago
Dear Behrooz,
Thanks again for your interest in ranx
! :)
I added the requested feature in v0.3.3
.
I added two different ways to set relevance levels.
Qrels-wise
Qrels now provides the set_relevance_level
function: qrels.set_relevance_level(rel_lvl)
.
It changes the document relevance judgments stored in qrels.
Metric-wise
The relevance level can now be appended to metric names: map@100-l2
, ndcg-l3
.
This way, the original relevance judgments stored in qrels are preserved.
I checked some metric scores against trec_eval
after setting the relevance level: they seem to work as intended.
I noticed that setting the relevance level for ndcg
does not work on trec_eval
.
I will open an issue on its repo to check whether this works as intended.
Let me know if you have further feature requests.
Best,
Elias
I was wondering if similar to trec_eval that we can specify the relevance_level, with -l parameter, this feature exists in ranx. If not that would be a useful feature for evaluation