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mlconfound

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0.21.3 mlconfound-0.21.3-py3-none-any.whl

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Project: mlconfound
Version: 0.21.3
Filename: mlconfound-0.21.3-py3-none-any.whl
Download: [link]
Size: 23043
MD5: fc63bdea444b7da20ff76c6561987506
SHA256: 8c04ddb8cd271a7024897cdf0128427d28b168f1ec166e130a47d5a68a838846
Uploaded: 2022-12-21 11:25:37 +0000

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METADATA · WHEEL · RECORD

METADATA

Metadata-Version: 2.1
Name: mlconfound
Version: 0.21.3
Summary: Tools for analyzing and quantifying effects of counfounder variables on machine learning model predictions.
Author: Tamas Spisak
Author-Email: tamas.spisak[at]uni-due.de
Home-Page: https://mlconfound.readthedocs.io
Project-Url: Documentation, https://mlconfound.readthedocs.io
Project-Url: Repository, https://github.com/pni-lab/mlconfound
License: GPL-3.0-or-later
Keywords: machine learning,predictive modelling,confounding bias,conditional independence,confounder test
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.7
Requires-Dist: dot2tex (>=2.11.3)
Requires-Dist: graphviz (>=0.17)
Requires-Dist: joblib (>=1.0.1)
Requires-Dist: numpy (>=1.21.1)
Requires-Dist: pandas (>=1.3.1)
Requires-Dist: pygam (==0.8.0)
Requires-Dist: scipy (>=1.7.1)
Requires-Dist: seaborn (>=0.11.1)
Requires-Dist: statsmodels (>=0.12.2)
Requires-Dist: tqdm (>=4.62.0)
Description-Content-Type: text/markdown
[Description omitted; length: 1996 characters]

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