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0.0.6 emxps-0.0.6-py3-none-any.whl

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Project: emxps
Version: 0.0.6
Filename: emxps-0.0.6-py3-none-any.whl
Download: [link]
Size: 71643
MD5: f01b83f6f95c4ab183a372f620bea5cf
SHA256: 5d86133bc7cfe17b3a7c95f1a3287ab9fbe73d656366c67fa6ca5d0aaf5f159e
Uploaded: 2021-09-07 00:12:02 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: emxps
Version: 0.0.6
Summary: Miscellanous Explanation Methods
Author: Emanuele Albini
Home-Page: https://github.com/emanuele-albini/emxps
Project-Url: Documentation, https://emanuele-albini.github.io/emxps
Project-Url: Source Code, https://github.com/emanuele-albini/emxps
Project-Url: Bug Tracker, https://github.com/emanuele-albini/emxps/issues
Project-Url: Author Website, https://www.emanuelealbini.com
Keywords: XAI,Explainability,Explainable,AI,Counterfactual,Algorithmic Recourse,Contrastive Explanations,Feature Importance,Feature Attribution
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Operating System :: OS Independent
Classifier: License :: OSI Approved :: MIT License
Classifier: Development Status :: 4 - Beta
Platform: any
Requires-Python: >=3.6
Requires-Dist: emutils
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: networkx
Requires-Dist: xgboost
Requires-Dist: scikit-learn
Requires-Dist: dataclasses
Requires-Dist: tqdm
Requires-Dist: joblib
Requires-Dist: plotly
Requires-Dist: statsmodels
Requires-Dist: lime (==0.2.0.1)
Requires-Dist: shap (==0.39.0)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 1466 characters]

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top_level.txt

xxgb