jma127/pyltr
Python learning to rank (LTR) toolkit
Implements LambdaMART gradient boosting with query-aware training and early stopping, plus standard LTR evaluation metrics (NDCG, ERR, MAP, AUC-ROC). Includes native LETOR dataset parsing and query grouping utilities for structured ranking data. Supports configurable gain functions and validation-based model trimming.
464 stars. Available on PyPI.
Stars
464
Forks
106
Language
Python
License
BSD-3-Clause
Category
Last pushed
Dec 27, 2025
Commits (30d)
0
Dependencies
5
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