Comments (1)
Handling floating point relevance scores would require a larger change within trec_eval
itself. https://github.com/usnistgov/trec_eval/blob/master/trec_format.h#L27
from pytrec_eval.
Related Issues (20)
- use complete set of queries from relevance judgments (-c) HOT 1
- Pip install error on windows 10, possible hardcoded path HOT 19
- Pytrec scores are not consistent in colab HOT 9
- List of supported metrics HOT 1
- pytrec-eval-terrier 0.5.1 HOT 4
- Range of doc score in run file HOT 1
- RelevanceEvaluator breaks when evaluating on multiple runs
- ndcg_cut.10 and -M 10 ndcg are different when multiple level of relevance is given. HOT 2
- iprec_at_recall trec_eval: duplicate cutoffs detected
- error when installing using pip HOT 6
- Issues when installing on Mac m1
- Not sure license can be MIT HOT 3
- windows 10 installation HOT 2
- For those with SSL issues here is the fix: HOT 1
- CI/CD friendly wheel
- ERROR: Could not build wheels for pytrec-eval, which is required to install pyproject.toml-based projects HOT 8
- Faulty Scores Generated by Evaluator in Presence of Empty Relevance Sets
- How to handle duplicate document IDs? HOT 1
- The difference between pytrec_eval and sklearn ndcg_score and differ when change the dict key name HOT 2
- TypeError: Expected object_relevance_per_qid dictionary and measures set. HOT 2
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from pytrec_eval.