Pytrec_eval: An Extremely Fast Python Interface to trec_eval

May 04, 2018 ยท Declared Dead ยท ๐Ÿ› Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

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Authors Christophe Van Gysel, Maarten de Rijke arXiv ID 1805.01597 Category cs.IR: Information Retrieval Citations 99 Venue Annual International ACM SIGIR Conference on Research and Development in Information Retrieval Last Checked 3 months ago
Abstract
We introduce pytrec_eval, a Python interface to the tree_eval information retrieval evaluation toolkit. pytrec_eval exposes the reference implementations of trec_eval within Python as a native extension. We show that pytrec_eval is around one order of magnitude faster than invoking trec_eval as a sub process from within Python. Compared to a native Python implementation of NDCG, pytrec_eval is twice as fast for practically-sized rankings. Finally, we demonstrate its effectiveness in an application where pytrec_eval is combined with Pyndri and the OpenAI Gym where query expansion is learned using Q-learning.
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