pyterrier-adaptive

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0.2.0 pyterrier_adaptive-0.2.0-py3-none-any.whl

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Project: pyterrier-adaptive
Version: 0.2.0
Filename: pyterrier_adaptive-0.2.0-py3-none-any.whl
Download: [link]
Size: 13254
MD5: a5b57d1d2af63542f25a913ef866575a
SHA256: 26cb085120a7d67216072e4b3986a85e13f2a57f89ed1fd99ac25066f231b827
Uploaded: 2024-12-03 14:56:39 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: pyterrier-adaptive
Version: 0.2.0
Summary: PyTerrier implementation of Adaptive Re-Ranking using a Corpus Graph (CIKM 2022)
Author-Email: Sean MacAvaney <sean.macavaney[at]glasgow.ac.uk>
Maintainer-Email: Sean MacAvaney <sean.macavaney[at]glasgow.ac.uk>
Project-Url: Repository, https://github.com/terrierteam/pyterrier_adaptive
Project-Url: Bug Tracker, https://github.com/terrierteam/pyterrier_adaptive/issues
Classifier: Programming Language :: Python
Classifier: Operating System :: OS Independent
Classifier: Topic :: Text Processing
Classifier: Topic :: Text Processing :: Indexing
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.8
Requires-Dist: python-terrier
Requires-Dist: npids (>=0.0.2)
Requires-Dist: pyterrier-alpha (>=0.6.2)
Requires-Dist: torch
Requires-Dist: pandas
Requires-Dist: tqdm
Requires-Dist: more_itertools
Requires-Dist: transformers; extra == "laff"
Provides-Extra: laff
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4581 characters]

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Tag: py3-none-any

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top_level.txt

pyterrier_adaptive

entry_points.txt

corpus_graph.np_topk = pyterrier_adaptive.corpus_graph:NpTopKCorpusGraph