Comments (1)
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
from ranx.
Related Issues (20)
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- Zero-scored documents HOT 10
- [BUG] Misleading exception message on dataframe types HOT 2
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- Question on rank aggregation usage HOT 4
- Getting "Segmentation fault (core dumped)" error HOT 2
- [Feature Request] stddev statistic HOT 3
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