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0.0.1 soccer_xg-0.0.1-py3-none-any.whl

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Project: soccer-xg
Version: 0.0.1
Filename: soccer_xg-0.0.1-py3-none-any.whl
Download: [link]
Size: 156287
MD5: ffd28347e4fa0f032a882b0b51fc854c
SHA256: 2d1389959980ff1c60a47e0f4382fb7bdd17d48c25ffbc847c27c08bbf0127d8
Uploaded: 2020-07-09 22:42:23 +0000

dist-info

METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: soccer-xg
Version: 0.0.1
Summary: Train and analyse xG models on soccer event stream data
Author: Pieter Robberechts
Author-Email: pieter.robberechts[at]cs.kuleuven.be
Home-Page: https://pypi.org/project/soccer_xg
Project-Url: Repository, https://github.com/probberechts/soccer_xg
Keywords: expected goals,xG,Soccer,Football,event stream data,sports analytics,Statsbomb,Opta,Wyscout
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6.1,<4.0.0
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Requires-Dist: ipykernel (<6.0,>=5.1)
Requires-Dist: matplotlib (<4.0,>=3.1)
Requires-Dist: matplotsoccer (<0.0.9,>=0.0.8)
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Requires-Dist: scikit-learn (<0.23.0,>=0.22.1)
Requires-Dist: seaborn (<0.11.0,>=0.10.0)
Requires-Dist: socceraction (<0.3.0,>=0.2.1)
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Requires-Dist: xgboost (<2.0,>=1.0)
Provides-Extra: dask
Description-Content-Type: text/markdown
[Description omitted; length: 3563 characters]

WHEEL

Wheel-Version: 1.0
Generator: poetry 1.0.9
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Tag: py3-none-any

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